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---
license: mit
language:
- zh
- en
- de
- es
- fr
- ko
- ja
pipeline_tag: text-to-speech
library_name: transformers
tags:
- audio
- text-to-speech
- voice-cloning
- multilingual
- mixture-of-experts
- speech-generation
---

<div align="center">
  <img src="./figures/ant-bailing.png" width="60" alt="Ming-3.0-tts Logo" />
  <h1>Ming-3.0-tts-tiny</h1>
  <p><i>7.9B-A1.3B multilingual MoE speech synthesis with paralinguistic and free-form control.</i></p>
</div>

<p align="center">
  <span style="white-space: nowrap;"><img src="./figures/icons/github-color.svg" width="18" height="18" alt="" style="display: inline-block; vertical-align: middle; margin: 0;" /> <a href="https://github.com/inclusionAI/Ming-3.0-tts">GitHub</a></span> |
  <span style="white-space: nowrap;"><img src="./figures/icons/technical-report.svg" width="18" height="18" alt="" style="display: inline-block; vertical-align: middle; margin: 0;" /> <a href="https://nomorecoding.github.io/Ming-3.0-tts/">Blog & Demos</a></span> |
  <span style="white-space: nowrap;"><img src="./figures/icons/modelscope-color.svg" width="18" height="18" alt="" style="display: inline-block; vertical-align: middle; margin: 0;" /> <a href="https://modelscope.cn/models/inclusionAI/Ming-3.0-tts-tiny">ModelScope</a></span>
</p>

This repository contains **Ming-3.0-tts-tiny**, the Ming-3.0-tts mixture-of-experts checkpoint built on Ling V3. Its Ling V3 backbone has 7.9B total parameters and activates about 1.3B parameters per token. The repository includes sharded weights, supporting model code, audio tokenizer, speaker encoder and text tokenizer.

> **Inference requires the [Ming-3.0-tts GitHub repository](https://github.com/inclusionAI/Ming-3.0-tts).** This Hugging Face repository is for checkpoint distribution and does not provide a standalone inference setup. Clone the GitHub repository and follow its README for the current dependencies, inference code and usage instructions. The CLI scripts and Python APIs referenced below are provided by the GitHub repository.

## Model Details

| Item | Value |
| --- | --- |
| Architecture | Mixture of Experts, Ling V3 backbone |
| Backbone parameters | 7.9B total, about 1.3B active per token |
| Languages | Chinese, English, German, Spanish, French, Korean, Japanese |
| Dialects | Sichuanese, Cantonese |
| Python API | `ming_tiny.MingTinyTTS` |
| CLI | `infer_tiny.py` |
| Prompt protocol | `thinking_v1` |

## Capabilities

- Zero-shot voice cloning from a short reference clip
- Voice Design from a natural-language speaker description
- Free-form control of delivery and speaking style
- 100+ built-in Chinese voices and five built-in English voices
- Multilingual synthesis and Sichuanese/Cantonese dialect control
- 14 inline tags for breath, cough, sigh, laughter, hesitation, surprise and question/confirmation sounds in Chinese or English
- Explicit emotion, speed, pitch and volume control
- Multi-speaker dialogue from a script and speaker references (`podcast`)

<p align="center">
  <img src="./figures/ming-3.0-tts-tiny-architecture.png" width="900" alt="Ming-3.0-tts-tiny architecture" />
</p>

## Quick Start

### Installation

```bash
git clone https://github.com/inclusionAI/Ming-3.0-tts.git
cd Ming-3.0-tts
conda create -n ming-tiny python=3.10.15 -y
conda activate ming-tiny
pip install -r requirements-tiny.txt
```

Tiny uses a separate reference inference environment: Python **3.10.15**, PyTorch and torchaudio **2.7.1+cu118** (CUDA 11.8 wheels), and `transformers==4.46.3`. Install the pinned dependencies from [requirements-tiny.txt](https://github.com/inclusionAI/Ming-3.0-tts/blob/main/requirements-tiny.txt) in a dedicated environment, as other dependency versions differ from 0.5B. We recommend using NVIDIA H800 for inference.

### Download

```bash
pip install "huggingface_hub[cli]"
hf download inclusionAI/Ming-3.0-tts-tiny --local-dir Ming-3.0-tts-tiny
```

### CLI Inference

```bash
python infer_tiny.py \
  --model_path inclusionAI/Ming-3.0-tts-tiny \
  --task dialect \
  --text "今日天气几好，我哋食完饭一齐去海边行下啦。" \
  --dialect 广粤话 \
  --prompt_wav data/wavs/10002287-00000094.wav \
  --output_path output/tiny.wav
```

### Python API

Loading configures the release runtime (bf16, portable MoE loop, fp32 recurrent state) and checks the checkpoint against it; `generate()` defaults to `cfg_scale=2.0`, `temperature=0`, `flow_steps=10`, and `sigma=0.25`.

```python
from ming_tiny import MingTinyTTS

tts = MingTinyTTS.from_pretrained("inclusionAI/Ming-3.0-tts-tiny", device="cuda:0")
tts.generate(
    task="seed",
    text="傍晚的风从山口吹过来，远处的云慢慢染成了金色。",
    prompt_wav="data/wavs/10002287-00000094.wav",
    prompt_text="在此奉劝大家别乱打美白针。",
    target_language="Chinese",          # English for English text
    output_path="outputs/seed.wav",
)
```

### Supported Tasks

Each call selects one task and accepts the inputs listed below:

| Task | Reference audio | Reference text | `target_language` | Controls |
| --- | --- | --- | --- | --- |
| `seed` | one | required | `Chinese` / `English`, required | — |
| `multilingual` | one | required | `German` / `Spanish` / `French` / `Korean` / `Japanese` | — |
| `paralinguistic` | one | required | `Chinese` / `English` | inline tags in `text` |
| `podcast` | one per speaker | one per speaker, same order | inferred from the text | `speaker_N:` at the start of every line |
| `basic` | one | not accepted | — | `speed`, `pitch`, `volume`, all three |
| `emotion` | one | not accepted | — | `emotion` |
| `dialect` | one | not accepted | — | `dialect`: `川渝话` / `广粤话` |
| `freeform` | one | not accepted | — | `instruction` |
| `voice_design` | none | — | — | `style` |
| `ip` | none | — | — | `ip` |

Freeform always requires a reference clip and cannot be combined with voice design, a built-in voice, emotion, dialect or attribute controls. For `podcast`, start every dialogue line with `speaker_N:` and provide one reference audio clip and transcript per speaker, in speaker order. Repeat `--prompt_wav` and `--prompt_text` on the command line.

See the [Tiny examples](https://github.com/inclusionAI/Ming-3.0-tts#ming-30-tts-tiny) for a Podcast Python example and [examples/one_click/](https://github.com/inclusionAI/Ming-3.0-tts/tree/main/examples/one_click) for scripts for every task. `python infer_tiny.py --help` lists the CLI arguments.

### Verify the Checkpoint

```bash
python tools/preflight_tiny.py --model_path /path/to/Ming-3.0-tts-tiny
```

## Serving with vLLM-Omni

For installation, follow the [vLLM-Omni official installation guide](https://docs.vllm.ai/projects/vllm-omni/en/latest/getting_started/installation/); [vLLM-Omni](https://github.com/vllm-project/vllm-omni) serves this checkpoint through the OpenAI-compatible `/v1/audio/speech` endpoint. The current recipe targets vLLM 0.32.0. Use a separate environment from the reference inference setup above.

Start the server in one terminal:

```bash
vllm serve inclusionAI/Ming-3.0-tts-tiny --omni --port 8000
```

The HF model ID selects the two-stage Ming3-TTS pipeline automatically and downloads the weights and required assets on first launch. Both stages share GPU 0. A complete local model directory may also be used; pass `--revision <HF-commit>` to pin a remote checkpoint.

After the server is ready, run this reference-free voice design example in another terminal:

```bash
curl --fail-with-body --silent --show-error http://127.0.0.1:8000/v1/audio/speech \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "inclusionAI/Ming-3.0-tts-tiny",
    "input": "傍晚的风从山口吹过来，远处的云慢慢染成了金色。",
    "instructions": "{\"风格\":\"年轻女声，声音清晰自然。\"}",
    "response_format": "wav",
    "extra_params": {"temperature": 0.0, "ming3_cfg": 1.0},
    "seed": 1234
  }' --output ming3_tiny_design.wav
```

The output is a mono 44.1 kHz WAV. Voice cloning uses `ref_audio` and its matching transcript in `ref_text`; speech controls use `instructions`. For voice cloning, dialect and emotion controls, built-in voices, multi-speaker Podcast, and PCM streaming, see the upstream [Ming-3.0-TTS recipe](https://github.com/vllm-project/vllm-omni/blob/main/recipes/inclusionAI/Ming-3.0-TTS.md).

## Serving with SGLang-Omni

[SGLang-Omni](https://sgl-project.github.io/sglang-omni/) serves this checkpoint on one GPU:

```bash
sgl-omni serve --model-path inclusionAI/Ming-3.0-tts-tiny
```

Synthesize speech through the OpenAI-compatible endpoint:

```bash
curl -X POST http://127.0.0.1:8000/v1/audio/speech \
  -H "Content-Type: application/json" \
  -d '{
    "model": "inclusionAI/Ming-3.0-tts-tiny",
    "input": "Get the trust fund to the bank early.",
    "response_format": "wav",
    "seed": 123
  }' \
  --output speech.wav
```

`response_format` accepts `wav`, `mp3`, `flac`, and `pcm`. For zero-shot voice cloning, pass `ref_audio` (a server-side path or a `data:` URL) together with `ref_text`, the transcript of the reference recording. See the [SGLang-Omni cookbook](https://sgl-project.github.io/sglang-omni/cookbook/ming3_tts.html) for details.

## Performance

Benchmark comparisons from the [project README](https://github.com/inclusionAI/Ming-3.0-tts#performance).

**Bold** and <u>underline</u> mark the best and second-best values among the listed open-source models; ties share a mark. Seed-TTS and NVbench-GT are unranked reference rows.

### Zero-shot TTS (Seed-TTS testset)

<table style="border-collapse: collapse; border-top: 1.5px solid black; border-bottom: 1.5px solid black; margin: 16px 0;">
  <thead>
    <tr><th rowspan="2" style="padding: 6px 12px; border: none; border-bottom: 1px solid black;">Model</th><th colspan="2" style="padding: 6px 12px; border: none; border-bottom: 1px solid black;">seed-tts-eval-zh</th><th colspan="2" style="padding: 6px 12px; border: none; border-bottom: 1px solid black;">seed-tts-eval-en</th></tr>
    <tr><th style="padding: 6px 12px; border: none; border-bottom: 1px solid black;">WER ↓</th><th style="padding: 6px 12px; border: none; border-bottom: 1px solid black;">SIM ↑</th><th style="padding: 6px 12px; border: none; border-bottom: 1px solid black;">WER ↓</th><th style="padding: 6px 12px; border: none; border-bottom: 1px solid black;">SIM ↑</th></tr>
  </thead>
  <tbody>
    <tr><td style="padding: 5px 12px; border: none; color: rgb(119, 119, 119);"><i>Seed-TTS</i></td><td align="center" style="padding: 5px 12px; border: none; color: rgb(119, 119, 119);">1.110%</td><td align="center" style="padding: 5px 12px; border: none; color: rgb(119, 119, 119);">0.796</td><td align="center" style="padding: 5px 12px; border: none; color: rgb(119, 119, 119);">2.240%</td><td align="center" style="padding: 5px 12px; border: none; color: rgb(119, 119, 119);">0.762</td></tr>
    <tr><td style="padding: 5px 12px; border: none;">GLM-TTS</td><td align="center" style="padding: 5px 12px; border: none;">1.030%</td><td align="center" style="padding: 5px 12px; border: none;">0.761</td><td align="center" style="padding: 5px 12px; border: none;">2.230%</td><td align="center" style="padding: 5px 12px; border: none;">0.672</td></tr>
    <tr><td style="padding: 5px 12px; border: none;">Qwen3-TTS</td><td align="center" style="padding: 5px 12px; border: none;">1.070%</td><td align="center" style="padding: 5px 12px; border: none;">—</td><td align="center" style="padding: 5px 12px; border: none;">1.390%</td><td align="center" style="padding: 5px 12px; border: none;">—</td></tr>
    <tr><td style="padding: 5px 12px; border: none;">Qwen3-TTS-12Hz-0.6B-Base</td><td align="center" style="padding: 5px 12px; border: none;">0.920%</td><td align="center" style="padding: 5px 12px; border: none;">—</td><td align="center" style="padding: 5px 12px; border: none;"><u>1.320%</u></td><td align="center" style="padding: 5px 12px; border: none;">—</td></tr>
    <tr><td style="padding: 5px 12px; border: none;">Qwen3-TTS-12Hz-1.7B-Base</td><td align="center" style="padding: 5px 12px; border: none;"><u>0.770%</u></td><td align="center" style="padding: 5px 12px; border: none;">—</td><td align="center" style="padding: 5px 12px; border: none;"><b>1.240%</b></td><td align="center" style="padding: 5px 12px; border: none;">—</td></tr>
    <tr><td style="padding: 5px 12px; border: none;">CosyVoice3-0.5B</td><td align="center" style="padding: 5px 12px; border: none;">1.160%</td><td align="center" style="padding: 5px 12px; border: none;"><u>0.780</u></td><td align="center" style="padding: 5px 12px; border: none;">2.020%</td><td align="center" style="padding: 5px 12px; border: none;"><u>0.718</u></td></tr>
    <tr><td style="padding: 5px 12px; border: none;">CosyVoice3-1.5B</td><td align="center" style="padding: 5px 12px; border: none;"><b>0.710%</b></td><td align="center" style="padding: 5px 12px; border: none;">0.775</td><td align="center" style="padding: 5px 12px; border: none;">1.450%</td><td align="center" style="padding: 5px 12px; border: none;">0.695</td></tr>
    <tr><td style="padding: 5px 12px; border: none;">F5-TTS</td><td align="center" style="padding: 5px 12px; border: none;">1.560%</td><td align="center" style="padding: 5px 12px; border: none;">0.741</td><td align="center" style="padding: 5px 12px; border: none;">1.830%</td><td align="center" style="padding: 5px 12px; border: none;">0.647</td></tr>
    <tr><td style="padding: 5px 12px; border: none; border-top: 1px solid black;"><b>Ming-3.0-tts-0.5b</b></td><td align="center" style="padding: 5px 12px; border: none; border-top: 1px solid black;">0.800%</td><td align="center" style="padding: 5px 12px; border: none; border-top: 1px solid black;">0.758</td><td align="center" style="padding: 5px 12px; border: none; border-top: 1px solid black;">1.584%</td><td align="center" style="padding: 5px 12px; border: none; border-top: 1px solid black;">0.691</td></tr>
    <tr><td style="padding: 5px 12px; border: none;"><b>Ming-3.0-tts-tiny</b></td><td align="center" style="padding: 5px 12px; border: none;">0.820%</td><td align="center" style="padding: 5px 12px; border: none;"><b>0.781</b></td><td align="center" style="padding: 5px 12px; border: none;">1.666%</td><td align="center" style="padding: 5px 12px; border: none;"><b>0.728</b></td></tr>
  </tbody>
</table>

### Multilingual (MiniMax test set, selected languages)

Evaluated on the German, Spanish, French, Korean, and Japanese subsets of [MiniMaxAI/TTS-Multilingual-Test-Set](https://huggingface.co/datasets/MiniMaxAI/TTS-Multilingual-Test-Set).

<table style="border-collapse: collapse; border-top: 1.5px solid black; border-bottom: 1.5px solid black; margin: 16px 0;">
  <thead>
    <tr><th rowspan="2" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Model</th><th colspan="2" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">German</th><th colspan="2" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Spanish</th><th colspan="2" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">French</th><th colspan="2" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Korean</th><th colspan="2" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Japanese</th></tr>
    <tr><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">WER ↓</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">SIM ↑</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">WER ↓</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">SIM ↑</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">WER ↓</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">SIM ↑</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">CER ↓</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">SIM ↑</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">CER ↓</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">SIM ↑</th></tr>
  </thead>
  <tbody>
    <tr><td style="padding: 5px 10px; border: none;">dots.tts</td><td align="center" style="padding: 5px 10px; border: none;">0.452%</td><td align="center" style="padding: 5px 10px; border: none;"><u>0.798</u></td><td align="center" style="padding: 5px 10px; border: none;">2.593%</td><td align="center" style="padding: 5px 10px; border: none;"><u>0.839</u></td><td align="center" style="padding: 5px 10px; border: none;">19.878%</td><td align="center" style="padding: 5px 10px; border: none;"><u>0.789</u></td><td align="center" style="padding: 5px 10px; border: none;">4.837%</td><td align="center" style="padding: 5px 10px; border: none;"><u>0.853</u></td><td align="center" style="padding: 5px 10px; border: none;">5.134%</td><td align="center" style="padding: 5px 10px; border: none;"><b>0.838</b></td></tr>
    <tr><td style="padding: 5px 10px; border: none;">VoxCPM2</td><td align="center" style="padding: 5px 10px; border: none;">0.963%</td><td align="center" style="padding: 5px 10px; border: none;">0.790</td><td align="center" style="padding: 5px 10px; border: none;">1.324%</td><td align="center" style="padding: 5px 10px; border: none;">0.836</td><td align="center" style="padding: 5px 10px; border: none;"><b>3.380%</b></td><td align="center" style="padding: 5px 10px; border: none;">0.761</td><td align="center" style="padding: 5px 10px; border: none;">3.547%</td><td align="center" style="padding: 5px 10px; border: none;">0.839</td><td align="center" style="padding: 5px 10px; border: none;">4.358%</td><td align="center" style="padding: 5px 10px; border: none;"><u>0.825</u></td></tr>
    <tr><td style="padding: 5px 10px; border: none;">Fish Audio S2</td><td align="center" style="padding: 5px 10px; border: none;">1.045%</td><td align="center" style="padding: 5px 10px; border: none;">0.714</td><td align="center" style="padding: 5px 10px; border: none;">1.216%</td><td align="center" style="padding: 5px 10px; border: none;">0.748</td><td align="center" style="padding: 5px 10px; border: none;">3.636%</td><td align="center" style="padding: 5px 10px; border: none;">0.698</td><td align="center" style="padding: 5px 10px; border: none;"><u>1.675%</u></td><td align="center" style="padding: 5px 10px; border: none;">0.761</td><td align="center" style="padding: 5px 10px; border: none;"><u>3.427%</u></td><td align="center" style="padding: 5px 10px; border: none;">0.755</td></tr>
    <tr><td style="padding: 5px 10px; border: none;">FireRedTTS3</td><td align="center" style="padding: 5px 10px; border: none;"><u>0.348%</u></td><td align="center" style="padding: 5px 10px; border: none;"><b>0.825</b></td><td align="center" style="padding: 5px 10px; border: none;"><u>1.086%</u></td><td align="center" style="padding: 5px 10px; border: none;"><b>0.868</b></td><td align="center" style="padding: 5px 10px; border: none;">4.366%</td><td align="center" style="padding: 5px 10px; border: none;"><b>0.807</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>1.644%</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>0.864</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>3.418%</b></td><td align="center" style="padding: 5px 10px; border: none;"><u>0.825</u></td></tr>
    <tr><td style="padding: 5px 10px; border: none; border-top: 1px solid black;"><b>Ming-3.0-tts-0.5b</b></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">0.365%</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">0.753</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">1.099%</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">0.763</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">4.264%</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">0.675</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">1.728%</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">0.793</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">3.765%</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">0.765</td></tr>
    <tr><td style="padding: 5px 10px; border: none;"><b>Ming-3.0-tts-tiny</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>0.325%</b></td><td align="center" style="padding: 5px 10px; border: none;">0.791</td><td align="center" style="padding: 5px 10px; border: none;"><b>0.971%</b></td><td align="center" style="padding: 5px 10px; border: none;">0.797</td><td align="center" style="padding: 5px 10px; border: none;"><u>3.470%</u></td><td align="center" style="padding: 5px 10px; border: none;">0.733</td><td align="center" style="padding: 5px 10px; border: none;">6.000%</td><td align="center" style="padding: 5px 10px; border: none;">0.797</td><td align="center" style="padding: 5px 10px; border: none;"><u>3.427%</u></td><td align="center" style="padding: 5px 10px; border: none;">0.780</td></tr>
  </tbody>
</table>

<p><small>Each open-source model was evaluated using its recommended inference settings under a unified ASR-based WER/CER evaluation protocol.</small></p>

### Paralinguistic Control (NVBench)

<table style="border-collapse: collapse; border-top: 1.5px solid black; border-bottom: 1.5px solid black; margin: 16px 0;">
  <thead>
    <tr><th rowspan="3" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">Model</th><th colspan="6" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">Single</th><th colspan="6" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">Multi</th></tr>
    <tr><th colspan="3" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">Chinese</th><th colspan="3" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">English</th><th colspan="3" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">Chinese</th><th colspan="3" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">English</th></tr>
    <tr><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">CER</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">PCER</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">OCER</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">CER</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">PCER</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">OCER</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">CER</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">PCER</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">OCER</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">CER</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">PCER</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">OCER</th></tr>
  </thead>
  <tbody>
    <tr><td style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);"><i>NVbench-GT</i></td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">3.86</td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">9.38</td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">4.07</td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">6.73</td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">8.31</td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">6.90</td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">3.79</td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">23.71</td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">5.07</td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">7.26</td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">21.41</td><td align="center" style="padding: 5px 8px; border: none; color: rgb(119, 119, 119);">8.62</td></tr>
    <tr><td style="padding: 5px 8px; border: none;">Orpheus-TTS</td><td align="center" style="padding: 5px 8px; border: none;">11.36</td><td align="center" style="padding: 5px 8px; border: none;">88.77</td><td align="center" style="padding: 5px 8px; border: none;">13.91</td><td align="center" style="padding: 5px 8px; border: none;">9.03</td><td align="center" style="padding: 5px 8px; border: none;">71.92</td><td align="center" style="padding: 5px 8px; border: none;">10.63</td><td align="center" style="padding: 5px 8px; border: none;">19.83</td><td align="center" style="padding: 5px 8px; border: none;">84.85</td><td align="center" style="padding: 5px 8px; border: none;">24.38</td><td align="center" style="padding: 5px 8px; border: none;">8.68</td><td align="center" style="padding: 5px 8px; border: none;">71.46</td><td align="center" style="padding: 5px 8px; border: none;">11.89</td></tr>
    <tr><td style="padding: 5px 8px; border: none;">SMIIP-NV-CV2</td><td align="center" style="padding: 5px 8px; border: none;">8.80</td><td align="center" style="padding: 5px 8px; border: none;">75.64</td><td align="center" style="padding: 5px 8px; border: none;">11.34</td><td align="center" style="padding: 5px 8px; border: none;">17.92</td><td align="center" style="padding: 5px 8px; border: none;">56.80</td><td align="center" style="padding: 5px 8px; border: none;">19.47</td><td align="center" style="padding: 5px 8px; border: none;">10.66</td><td align="center" style="padding: 5px 8px; border: none;">77.20</td><td align="center" style="padding: 5px 8px; border: none;">14.79</td><td align="center" style="padding: 5px 8px; border: none;">20.93</td><td align="center" style="padding: 5px 8px; border: none;">54.49</td><td align="center" style="padding: 5px 8px; border: none;">23.87</td></tr>
    <tr><td style="padding: 5px 8px; border: none;">Emilia-NV-CV2</td><td align="center" style="padding: 5px 8px; border: none;">5.05</td><td align="center" style="padding: 5px 8px; border: none;">40.00</td><td align="center" style="padding: 5px 8px; border: none;">6.64</td><td align="center" style="padding: 5px 8px; border: none;">12.50</td><td align="center" style="padding: 5px 8px; border: none;">55.30</td><td align="center" style="padding: 5px 8px; border: none;">13.21</td><td align="center" style="padding: 5px 8px; border: none;">5.54</td><td align="center" style="padding: 5px 8px; border: none;">48.74</td><td align="center" style="padding: 5px 8px; border: none;">8.09</td><td align="center" style="padding: 5px 8px; border: none;">11.71</td><td align="center" style="padding: 5px 8px; border: none;">60.28</td><td align="center" style="padding: 5px 8px; border: none;">14.63</td></tr>
    <tr><td style="padding: 5px 8px; border: none;">CosyVoice3</td><td align="center" style="padding: 5px 8px; border: none;">3.85</td><td align="center" style="padding: 5px 8px; border: none;">57.69</td><td align="center" style="padding: 5px 8px; border: none;">5.86</td><td align="center" style="padding: 5px 8px; border: none;">7.87</td><td align="center" style="padding: 5px 8px; border: none;">62.75</td><td align="center" style="padding: 5px 8px; border: none;">9.06</td><td align="center" style="padding: 5px 8px; border: none;">4.75</td><td align="center" style="padding: 5px 8px; border: none;">61.94</td><td align="center" style="padding: 5px 8px; border: none;">8.26</td><td align="center" style="padding: 5px 8px; border: none;"><u>6.39</u></td><td align="center" style="padding: 5px 8px; border: none;">57.84</td><td align="center" style="padding: 5px 8px; border: none;">10.69</td></tr>
    <tr><td style="padding: 5px 8px; border: none;">NV-FlexiVoice</td><td align="center" style="padding: 5px 8px; border: none;">6.98</td><td align="center" style="padding: 5px 8px; border: none;">31.08</td><td align="center" style="padding: 5px 8px; border: none;">8.15</td><td align="center" style="padding: 5px 8px; border: none;">11.88</td><td align="center" style="padding: 5px 8px; border: none;">50.43</td><td align="center" style="padding: 5px 8px; border: none;">13.21</td><td align="center" style="padding: 5px 8px; border: none;">8.20</td><td align="center" style="padding: 5px 8px; border: none;">39.37</td><td align="center" style="padding: 5px 8px; border: none;">10.39</td><td align="center" style="padding: 5px 8px; border: none;">9.60</td><td align="center" style="padding: 5px 8px; border: none;">51.32</td><td align="center" style="padding: 5px 8px; border: none;">13.76</td></tr>
    <tr><td style="padding: 5px 8px; border: none;">NV-CV3</td><td align="center" style="padding: 5px 8px; border: none;">3.80</td><td align="center" style="padding: 5px 8px; border: none;">27.69</td><td align="center" style="padding: 5px 8px; border: none;"><u>4.90</u></td><td align="center" style="padding: 5px 8px; border: none;">8.33</td><td align="center" style="padding: 5px 8px; border: none;">46.13</td><td align="center" style="padding: 5px 8px; border: none;">9.44</td><td align="center" style="padding: 5px 8px; border: none;"><b>3.44</b></td><td align="center" style="padding: 5px 8px; border: none;"><b>30.04</b></td><td align="center" style="padding: 5px 8px; border: none;"><b>4.84</b></td><td align="center" style="padding: 5px 8px; border: none;">6.70</td><td align="center" style="padding: 5px 8px; border: none;"><u>47.13</u></td><td align="center" style="padding: 5px 8px; border: none;"><u>10.10</u></td></tr>
    <tr><td style="padding: 5px 8px; border: none; border-top: 1px solid black;"><b>Ming-3.0-tts-0.5b</b></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><b>2.70</b></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><u>22.80</u></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><b>3.20</b></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><u>7.60</u></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><u>37.00</u></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><u>8.90</u></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><u>3.50</u></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;">36.60</td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;">8.10</td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;">7.90</td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;">47.30</td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;">10.40</td></tr>
    <tr><td style="padding: 5px 8px; border: none;"><b>Ming-3.0-tts-tiny</b></td><td align="center" style="padding: 5px 8px; border: none;"><u>2.80</u></td><td align="center" style="padding: 5px 8px; border: none;"><b>17.23</b></td><td align="center" style="padding: 5px 8px; border: none;"><b>3.20</b></td><td align="center" style="padding: 5px 8px; border: none;"><b>5.86</b></td><td align="center" style="padding: 5px 8px; border: none;"><b>32.95</b></td><td align="center" style="padding: 5px 8px; border: none;"><b>7.05</b></td><td align="center" style="padding: 5px 8px; border: none;">4.49</td><td align="center" style="padding: 5px 8px; border: none;"><u>32.88</u></td><td align="center" style="padding: 5px 8px; border: none;"><u>5.81</u></td><td align="center" style="padding: 5px 8px; border: none;"><b>5.12</b></td><td align="center" style="padding: 5px 8px; border: none;"><b>46.13</b></td><td align="center" style="padding: 5px 8px; border: none;"><b>7.68</b></td></tr>
  </tbody>
</table>

### Dialect Control

<table style="border-collapse: collapse; border-top: 1.5px solid black; border-bottom: 1.5px solid black; margin: 16px 0;">
  <thead>
    <tr><th rowspan="2" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">Model</th><th colspan="3" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">WSC-Eval-TTS-easy</th><th colspan="3" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">WSC-Eval-TTS-hard</th><th colspan="3" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">WSYue-TTS-eval-Base</th><th colspan="3" style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">WSYue-TTS-eval-Coverage</th></tr>
    <tr><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">CER ↓</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">SIM ↑</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">ACC ↑</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">CER ↓</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">SIM ↑</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">ACC ↑</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">CER ↓</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">SIM ↑</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">ACC ↑</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">CER ↓</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">SIM ↑</th><th style="padding: 6px 8px; border: none; border-bottom: 1px solid black;">ACC ↑</th></tr>
  </thead>
  <tbody>
    <tr><td style="padding: 5px 8px; border: none;">Qwen3-TTS</td><td align="center" style="padding: 5px 8px; border: none;">4.13%</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">7.35%</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td></tr>
    <tr><td style="padding: 5px 8px; border: none;">CosyVoice3-0.5B</td><td align="center" style="padding: 5px 8px; border: none;">3.17%</td><td align="center" style="padding: 5px 8px; border: none;">0.696</td><td align="center" style="padding: 5px 8px; border: none;">76.05%</td><td align="center" style="padding: 5px 8px; border: none;">4.07%</td><td align="center" style="padding: 5px 8px; border: none;"><u>0.723</u></td><td align="center" style="padding: 5px 8px; border: none;">81.41%</td><td align="center" style="padding: 5px 8px; border: none;">8.36%</td><td align="center" style="padding: 5px 8px; border: none;">0.611</td><td align="center" style="padding: 5px 8px; border: none;">91.70%</td><td align="center" style="padding: 5px 8px; border: none;">8.95%</td><td align="center" style="padding: 5px 8px; border: none;">0.658</td><td align="center" style="padding: 5px 8px; border: none;"><b>95.80%</b></td></tr>
    <tr><td style="padding: 5px 8px; border: none;">CosyVoice3-1.5B + DiffRO-EMO</td><td align="center" style="padding: 5px 8px; border: none;">7.14%</td><td align="center" style="padding: 5px 8px; border: none;">0.703</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">9.06%</td><td align="center" style="padding: 5px 8px; border: none;">0.601</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">14.38%</td><td align="center" style="padding: 5px 8px; border: none;"><u>0.812</u></td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">13.74%</td><td align="center" style="padding: 5px 8px; border: none;"><u>0.826</u></td><td align="center" style="padding: 5px 8px; border: none;">—</td></tr>
    <tr><td style="padding: 5px 8px; border: none;">CosyVoice2-WSC</td><td align="center" style="padding: 5px 8px; border: none;">4.28%</td><td align="center" style="padding: 5px 8px; border: none;"><u>0.728</u></td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">8.87%</td><td align="center" style="padding: 5px 8px; border: none;">0.626</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td></tr>
    <tr><td style="padding: 5px 8px; border: none;">CosyVoice2-WSC-SFT</td><td align="center" style="padding: 5px 8px; border: none;">4.08%</td><td align="center" style="padding: 5px 8px; border: none;"><b>0.788</b></td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">7.22%</td><td align="center" style="padding: 5px 8px; border: none;">0.680</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td></tr>
    <tr><td style="padding: 5px 8px; border: none;">CosyVoice2-Yue</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">10.33%</td><td align="center" style="padding: 5px 8px; border: none;"><b>0.821</b></td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">9.49%</td><td align="center" style="padding: 5px 8px; border: none;"><b>0.834</b></td><td align="center" style="padding: 5px 8px; border: none;">—</td></tr>
    <tr><td style="padding: 5px 8px; border: none;">Sparks-TTS</td><td align="center" style="padding: 5px 8px; border: none;">10.83%</td><td align="center" style="padding: 5px 8px; border: none;">0.677</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">12.52%</td><td align="center" style="padding: 5px 8px; border: none;">0.545</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">27.79%</td><td align="center" style="padding: 5px 8px; border: none;">0.762</td><td align="center" style="padding: 5px 8px; border: none;">—</td><td align="center" style="padding: 5px 8px; border: none;">24.25%</td><td align="center" style="padding: 5px 8px; border: none;">0.781</td><td align="center" style="padding: 5px 8px; border: none;">—</td></tr>
    <tr><td style="padding: 5px 8px; border: none; border-top: 1px solid black;"><b>Ming-3.0-tts-0.5b</b></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><b>2.27%</b></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;">0.689</td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><u>80.68%</u></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><u>3.35%</u></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;">0.691</td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><u>87.64%</u></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><b>6.15%</b></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;">0.586</td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><b>98.00%</b></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><b>8.15%</b></td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;">0.622</td><td align="center" style="padding: 5px 8px; border: none; border-top: 1px solid black;"><u>95.27%</u></td></tr>
    <tr><td style="padding: 5px 8px; border: none;"><b>Ming-3.0-tts-tiny</b></td><td align="center" style="padding: 5px 8px; border: none;"><u>2.53%</u></td><td align="center" style="padding: 5px 8px; border: none;">0.721</td><td align="center" style="padding: 5px 8px; border: none;"><b>86.09%</b></td><td align="center" style="padding: 5px 8px; border: none;"><b>3.11%</b></td><td align="center" style="padding: 5px 8px; border: none;"><b>0.738</b></td><td align="center" style="padding: 5px 8px; border: none;"><b>88.94%</b></td><td align="center" style="padding: 5px 8px; border: none;"><u>7.40%</u></td><td align="center" style="padding: 5px 8px; border: none;">0.605</td><td align="center" style="padding: 5px 8px; border: none;"><u>92.90%</u></td><td align="center" style="padding: 5px 8px; border: none;"><u>8.67%</u></td><td align="center" style="padding: 5px 8px; border: none;">0.653</td><td align="center" style="padding: 5px 8px; border: none;">95.16%</td></tr>
  </tbody>
</table>

### Emotion Control (CV3)

<table style="border-collapse: collapse; border-top: 1.5px solid black; border-bottom: 1.5px solid black; margin: 16px 0;">
  <thead>
    <tr><th rowspan="2" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Model</th><th rowspan="2" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Average</th><th colspan="3" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Text-Related</th><th colspan="3" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Text-Unrelated</th></tr>
    <tr><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Happy</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Sad</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Angry</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Happy</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Sad</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Angry</th></tr>
  </thead>
  <tbody>
    <tr><td style="padding: 5px 10px; border: none;">CosyVoice3-0.5B</td><td align="center" style="padding: 5px 10px; border: none;">66.33%</td><td align="center" style="padding: 5px 10px; border: none;">92%</td><td align="center" style="padding: 5px 10px; border: none;">70%</td><td align="center" style="padding: 5px 10px; border: none;">72%</td><td align="center" style="padding: 5px 10px; border: none;">64%</td><td align="center" style="padding: 5px 10px; border: none;">42%</td><td align="center" style="padding: 5px 10px; border: none;">58%</td></tr>
    <tr><td style="padding: 5px 10px; border: none;">CosyVoice3-1.5B</td><td align="center" style="padding: 5px 10px; border: none;">63.00%</td><td align="center" style="padding: 5px 10px; border: none;">86%</td><td align="center" style="padding: 5px 10px; border: none;">64%</td><td align="center" style="padding: 5px 10px; border: none;">72%</td><td align="center" style="padding: 5px 10px; border: none;">64%</td><td align="center" style="padding: 5px 10px; border: none;">44%</td><td align="center" style="padding: 5px 10px; border: none;">48%</td></tr>
    <tr><td style="padding: 5px 10px; border: none;">CosyVoice3-1.5B + DiffRO-EMO</td><td align="center" style="padding: 5px 10px; border: none;"><b>77.67%</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>98%</b></td><td align="center" style="padding: 5px 10px; border: none;">68%</td><td align="center" style="padding: 5px 10px; border: none;">84%</td><td align="center" style="padding: 5px 10px; border: none;"><b>98%</b></td><td align="center" style="padding: 5px 10px; border: none;"><u>50%</u></td><td align="center" style="padding: 5px 10px; border: none;">68%</td></tr>
    <tr><td style="padding: 5px 10px; border: none;">F5-TTS</td><td align="center" style="padding: 5px 10px; border: none;">64.67%</td><td align="center" style="padding: 5px 10px; border: none;">92%</td><td align="center" style="padding: 5px 10px; border: none;">52%</td><td align="center" style="padding: 5px 10px; border: none;">72%</td><td align="center" style="padding: 5px 10px; border: none;"><u>80%</u></td><td align="center" style="padding: 5px 10px; border: none;">28%</td><td align="center" style="padding: 5px 10px; border: none;">64%</td></tr>
    <tr><td style="padding: 5px 10px; border: none;">Sparks-TTS</td><td align="center" style="padding: 5px 10px; border: none;">55.33%</td><td align="center" style="padding: 5px 10px; border: none;">80%</td><td align="center" style="padding: 5px 10px; border: none;">56%</td><td align="center" style="padding: 5px 10px; border: none;">50%</td><td align="center" style="padding: 5px 10px; border: none;">50%</td><td align="center" style="padding: 5px 10px; border: none;"><b>60%</b></td><td align="center" style="padding: 5px 10px; border: none;">36%</td></tr>
    <tr><td style="padding: 5px 10px; border: none; border-top: 1px solid black;"><b>Ming-3.0-tts-0.5b</b></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">72.33%</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>96%</u></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>76%</u></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><b>94%</b></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">52%</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">36%</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><b>80%</b></td></tr>
    <tr><td style="padding: 5px 10px; border: none;"><b>Ming-3.0-tts-tiny</b></td><td align="center" style="padding: 5px 10px; border: none;"><u>74.00%</u></td><td align="center" style="padding: 5px 10px; border: none;"><b>98%</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>82%</b></td><td align="center" style="padding: 5px 10px; border: none;"><u>90%</u></td><td align="center" style="padding: 5px 10px; border: none;">60%</td><td align="center" style="padding: 5px 10px; border: none;">36%</td><td align="center" style="padding: 5px 10px; border: none;"><u>78%</u></td></tr>
  </tbody>
</table>

### Emotion Control (CV3N, hard emotion control)

<table style="border-collapse: collapse; border-top: 1.5px solid black; border-bottom: 1.5px solid black; margin: 16px 0;">
  <thead>
    <tr><th rowspan="2" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Model</th><th rowspan="2" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Average</th><th colspan="3" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Text-Related</th><th colspan="3" style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Text-Unrelated</th></tr>
    <tr><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Happy</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Sad</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Angry</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Happy</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Sad</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Angry</th></tr>
  </thead>
  <tbody>
    <tr><td style="padding: 5px 10px; border: none;">CosyVoice3-0.5B</td><td align="center" style="padding: 5px 10px; border: none;"><b>40.00%</b></td><td align="center" style="padding: 5px 10px; border: none;"><u>68%</u></td><td align="center" style="padding: 5px 10px; border: none;">30%</td><td align="center" style="padding: 5px 10px; border: none;"><b>78%</b></td><td align="center" style="padding: 5px 10px; border: none;"><u>14%</u></td><td align="center" style="padding: 5px 10px; border: none;"><u>4%</u></td><td align="center" style="padding: 5px 10px; border: none;"><b>46%</b></td></tr>
    <tr><td style="padding: 5px 10px; border: none; border-top: 1px solid black;"><b>Ming-3.0-tts-0.5b</b></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>37.33%</u></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><b>70%</b></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>36%</u></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>70%</u></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>14%</u></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>4%</u></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>30%</u></td></tr>
    <tr><td style="padding: 5px 10px; border: none;"><b>Ming-3.0-tts-tiny</b></td><td align="center" style="padding: 5px 10px; border: none;">30.67%</td><td align="center" style="padding: 5px 10px; border: none;">60%</td><td align="center" style="padding: 5px 10px; border: none;"><b>40%</b></td><td align="center" style="padding: 5px 10px; border: none;">44%</td><td align="center" style="padding: 5px 10px; border: none;"><b>18%</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>10%</b></td><td align="center" style="padding: 5px 10px; border: none;">12%</td></tr>
  </tbody>
</table>

### Voice Design (InstructTTSEval-ZH)

<table style="border-collapse: collapse; border-top: 1.5px solid black; border-bottom: 1.5px solid black; margin: 16px 0;">
  <thead>
    <tr><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Model</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Average</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">APS</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">DSD</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">RP</th></tr>
  </thead>
  <tbody>
    <tr><td style="padding: 5px 10px; border: none;">Qwen3-TTS</td><td align="center" style="padding: 5px 10px; border: none;"><b>77.13%</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>85.20%</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>81.10%</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>65.10%</b></td></tr>
    <tr><td style="padding: 5px 10px; border: none;">Mimo-Audio-7B-Instruct</td><td align="center" style="padding: 5px 10px; border: none;">70.50%</td><td align="center" style="padding: 5px 10px; border: none;">75.70%</td><td align="center" style="padding: 5px 10px; border: none;">74.30%</td><td align="center" style="padding: 5px 10px; border: none;"><u>61.50%</u></td></tr>
    <tr><td style="padding: 5px 10px; border: none;">VoiceSculptor</td><td align="center" style="padding: 5px 10px; border: none;">67.30%</td><td align="center" style="padding: 5px 10px; border: none;">75.70%</td><td align="center" style="padding: 5px 10px; border: none;">64.70%</td><td align="center" style="padding: 5px 10px; border: none;"><u>61.50%</u></td></tr>
    <tr><td style="padding: 5px 10px; border: none;">VoxInstruct</td><td align="center" style="padding: 5px 10px; border: none;">47.47%</td><td align="center" style="padding: 5px 10px; border: none;">47.50%</td><td align="center" style="padding: 5px 10px; border: none;">52.30%</td><td align="center" style="padding: 5px 10px; border: none;">42.60%</td></tr>
    <tr><td style="padding: 5px 10px; border: none; border-top: 1px solid black;"><b>Ming-3.0-tts-0.5b</b></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">72.29%</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">78.54%</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">77.28%</td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;">61.06%</td></tr>
    <tr><td style="padding: 5px 10px; border: none;"><b>Ming-3.0-tts-tiny</b></td><td align="center" style="padding: 5px 10px; border: none;"><u>75.37%</u></td><td align="center" style="padding: 5px 10px; border: none;"><u>85.10%</u></td><td align="center" style="padding: 5px 10px; border: none;"><u>79.90%</u></td><td align="center" style="padding: 5px 10px; border: none;">61.10%</td></tr>
  </tbody>
</table>

### Basic Attribute Control

<table style="border-collapse: collapse; border-top: 1.5px solid black; border-bottom: 1.5px solid black; margin: 16px 0;">
  <thead>
    <tr><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Model</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Speed</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Volume</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Pitch</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">Average</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">WER ↓</th><th style="padding: 6px 10px; border: none; border-bottom: 1px solid black;">SIM ↑</th></tr>
  </thead>
  <tbody>
    <tr><td style="padding: 5px 10px; border: none;">CosyVoice3-0.5B</td><td align="center" style="padding: 5px 10px; border: none;"><b>100.00%</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>97.67%</b></td><td align="center" style="padding: 5px 10px; border: none;">65.33%</td><td align="center" style="padding: 5px 10px; border: none;">87.67%</td><td align="center" style="padding: 5px 10px; border: none;">1.210%</td><td align="center" style="padding: 5px 10px; border: none;">0.580</td></tr>
    <tr><td style="padding: 5px 10px; border: none; border-top: 1px solid black;"><b>Ming-3.0-tts-0.5b</b></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>99.00%</u></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>95.00%</u></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><b>86.00%</b></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><b>93.30%</b></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>0.317%</u></td><td align="center" style="padding: 5px 10px; border: none; border-top: 1px solid black;"><u>0.712</u></td></tr>
    <tr><td style="padding: 5px 10px; border: none;"><b>Ming-3.0-tts-tiny</b></td><td align="center" style="padding: 5px 10px; border: none;">93.00%</td><td align="center" style="padding: 5px 10px; border: none;">93.00%</td><td align="center" style="padding: 5px 10px; border: none;"><u>78.70%</u></td><td align="center" style="padding: 5px 10px; border: none;"><u>88.23%</u></td><td align="center" style="padding: 5px 10px; border: none;"><b>0.274%</b></td><td align="center" style="padding: 5px 10px; border: none;"><b>0.742</b></td></tr>
  </tbody>
</table>

### Podcast

<table style="border-collapse: collapse; border-top: 1.5px solid black; border-bottom: 1.5px solid black; margin: 16px 0;">
  <thead>
    <tr><th style="padding: 6px 12px; border: none; border-bottom: 1px solid black;">Model</th><th style="padding: 6px 12px; border: none; border-bottom: 1px solid black;">CER ↓</th><th style="padding: 6px 12px; border: none; border-bottom: 1px solid black;">cpSIM ↑</th><th style="padding: 6px 12px; border: none; border-bottom: 1px solid black;">UTMOS ↑</th></tr>
  </thead>
  <tbody>
    <tr><td style="padding: 5px 12px; border: none;">FireRedTTS2</td><td align="center" style="padding: 5px 12px; border: none;">3.34%</td><td align="center" style="padding: 5px 12px; border: none;">0.512</td><td align="center" style="padding: 5px 12px; border: none;">1.90</td></tr>
    <tr><td style="padding: 5px 12px; border: none;">SoulX-Podcast</td><td align="center" style="padding: 5px 12px; border: none;"><u>2.20%</u></td><td align="center" style="padding: 5px 12px; border: none;"><b>0.599</b></td><td align="center" style="padding: 5px 12px; border: none;">2.09</td></tr>
    <tr><td style="padding: 5px 12px; border: none;">VibeVoice-1.5B</td><td align="center" style="padding: 5px 12px; border: none;">12.87%</td><td align="center" style="padding: 5px 12px; border: none;">0.455</td><td align="center" style="padding: 5px 12px; border: none;">1.74</td></tr>
    <tr><td style="padding: 5px 12px; border: none;">MOSS-TTSD</td><td align="center" style="padding: 5px 12px; border: none;">8.62%</td><td align="center" style="padding: 5px 12px; border: none;">0.421</td><td align="center" style="padding: 5px 12px; border: none;">1.70</td></tr>
    <tr><td style="padding: 5px 12px; border: none;">ZipVoice-Dia</td><td align="center" style="padding: 5px 12px; border: none;">3.39%</td><td align="center" style="padding: 5px 12px; border: none;">0.553</td><td align="center" style="padding: 5px 12px; border: none;"><b>2.24</b></td></tr>
    <tr><td style="padding: 5px 12px; border: none;">MoonCast</td><td align="center" style="padding: 5px 12px; border: none;">27.43%</td><td align="center" style="padding: 5px 12px; border: none;">0.441</td><td align="center" style="padding: 5px 12px; border: none;">1.76</td></tr>
    <tr><td style="padding: 5px 12px; border: none; border-top: 1px solid black;"><b>Ming-3.0-tts-tiny</b></td><td align="center" style="padding: 5px 12px; border: none; border-top: 1px solid black;"><b>2.03%</b></td><td align="center" style="padding: 5px 12px; border: none; border-top: 1px solid black;"><u>0.561</u></td><td align="center" style="padding: 5px 12px; border: none; border-top: 1px solid black;"><u>2.12</u></td></tr>
  </tbody>
</table>

## Limitations

- Korean CER (6.000%) is the clearest multilingual content-accuracy gap for this checkpoint.
- Speaker similarity remains weaker than content accuracy on several multilingual and dialect evaluations.
- NVBench Multi trails Single on several metrics; stability with multiple paralinguistic events in one sentence is still improving.
- Emotion control is harder when the words carry no emotional signal.
- Pitch is less accurate than speed and volume, and open-ended Voice Design does not yet match the strongest evaluated system.
- Podcast audio quality remains a limitation: UTMOS is 2.12, below ZipVoice-Dia's 2.24 and the historical Ming-omni-tts-0.5B score of 2.25.

## Usage Disclaimer

- Voice cloning and built-in character voices are provided for research and legitimate creative use. Do not use them to impersonate a real person without consent, to deceive, or for any illegal purpose.
- Label synthetic speech as synthetic where it could be mistaken for a real recording.
- The authors accept no liability for misuse. If you find abuse of this project, please report it to us.

## Acknowledgements

- Ling V3 for the mixture-of-experts backbone
- [CAM++](https://modelscope.cn/models/iic/speech_campplus_sv_zh-cn_16k-common) for speaker embedding extraction
- [Ming-omni-tts](https://github.com/inclusionAI/Ming-omni-tts), the previous generation, whose audio tokenizer this release builds on

## License

Released under the [MIT license](https://github.com/inclusionAI/Ming-3.0-tts/blob/main/LICENSE).