| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| task_categories: |
| - text-to-speech |
| tags: |
| - tts |
| - expressive-speech |
| - synthetic |
| - maya1 |
| - voice-design |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-*.parquet |
| --- |
| |
| # Maya1 Expressive TTS Dataset |
|
|
| A synthetic English speech dataset with inline expressive tags and a natural-language voice description for every clip. |
|
|
| | | | |
| |---|---| |
| | Clips | 3,850 | |
| | Total audio | 4.88 hours | |
| | Mean / median clip length | 4.6 s / 4.1 s | |
| | Sample rate | 24 kHz, mono WAV (embedded in parquet) | |
| | Language | English | |
| | Clips with at least one inline tag | 25 (0.6%) | |
|
|
| ## How it was made |
|
|
| 1. **Text:** `Qwen/Qwen3-0.6B` wrote short spoken utterances (1-3 sentences) from a planned set of speaker labels, topics, tones and tag instructions. Texts were validated (allowed tags only, word-count limits, no duplicates). |
| 2. **Voice design:** each clip has a structured voice plan (gender, age, accent, pitch, timbre, pacing, emotion, intensity, plus a domain/role or a creative character), rendered into the instruction string that Maya1 consumes. |
| 3. **Audio:** `maya1-q8_0` (GGUF) run through audio.cpp on Kaggle T4 GPUs. Clips were checked for sample rate, silence, duration and speech-rate anomalies, and failed ones were dropped. |
|
|
| ## Columns |
|
|
| | column | description | |
| |---|---| |
| | `id` | clip id, e.g. `maya1_000123` | |
| | `audio` | WAV audio (24 kHz), decoded automatically by `datasets` | |
| | `text` | transcript, including inline tags such as `<laugh>` | |
| | `duration_seconds` | clip length in seconds | |
| | `sample_rate` | sample rate in Hz | |
| | `language` | `English` | |
| | `voice_description` | the instruction string given to Maya1 | |
| | `voice_attributes` | JSON string of the structured voice plan | |
| | `topic` | short topic label | |
| | `inline_tags` | list of expressive tags in the text | |
| | `n_words` | word count of the transcript, tags excluded from nothing (plain split) | |
| | `model` | `maya1-q8_0` | |
| | `seed` | sampling seed used for this clip | |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| import json |
| |
| ds = load_dataset("Shadow0482/test-v1", split="train") |
| ex = ds[0] |
| print(ex["text"]) |
| print(ex["voice_description"]) |
| print(json.loads(ex["voice_attributes"])) |
| audio = ex["audio"] # {"array": ..., "sampling_rate": 24000} |
| ``` |
|
|
| Allowed inline tags: `<<chuckle>>`, `<<curious>>`, `<<disappointed>>`, `<<exhale>>`, `<<gasp>>`, `<<giggle>>`, `<<sarcastic>>`, `<<sigh>>`. |
|
|
| ## Distribution |
|
|
| | voice kind | clips | share | |
| |---|---:|---:| |
| | realistic | 2725 | 70.8% | |
| | creative | 1125 | 29.2% | |
|
|
| | gender | clips | share | |
| |---|---:|---:| |
| | male | 2027 | 52.6% | |
| | female | 1823 | 47.4% | |
|
|
| | accent | clips | share | |
| |---|---:|---:| |
| | american | 1521 | 39.5% | |
| | british | 1020 | 26.5% | |
| | indian | 549 | 14.3% | |
| | middle_eastern | 392 | 10.2% | |
| | asian_american | 368 | 9.6% | |
|
|
| | emotion | clips | share | |
| |---|---:|---:| |
| | neutral | 2597 | 67.5% | |
| | dry | 322 | 8.4% | |
| | energetic | 262 | 6.8% | |
| | excited | 259 | 6.7% | |
| | sad | 252 | 6.5% | |
| | sarcastic | 158 | 4.1% | |
|
|
| | inline tag | clips | share | |
| |---|---:|---:| |
| | <gasp> | 8 | 32.0% | |
| | <exhale> | 5 | 20.0% | |
| | <curious> | 3 | 12.0% | |
| | <giggle> | 3 | 12.0% | |
| | <sigh> | 2 | 8.0% | |
| | <chuckle> | 2 | 8.0% | |
| | <disappointed> | 1 | 4.0% | |
| | <sarcastic> | 1 | 4.0% | |
|
|
|
|
| ## Limitations |
|
|
| - All audio and text are synthetic. Prosody and tags come from a quantized (Q8_0) model and may be imperfect. |
| - Texts come from a 0.6B language model, so they can be repetitive or generic. |
| - Voice descriptions come from a fixed vocabulary, so coverage of real-world voices is limited. |
| - Check the license of Maya1 and Qwen before commercial use. The `license` field above is a placeholder: change it if needed. |
| |
