Text-to-Speech
AudioSeal
Safetensors
English
zero-shot
voice-cloning
english
flow-matching
diffusion-transformer
dacvae
Instructions to use VoiceHub/DACFlow-EN-10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AudioSeal
How to use VoiceHub/DACFlow-EN-10k with AudioSeal:
# Watermark Generator from audioseal import AudioSeal model = AudioSeal.load_generator("VoiceHub/DACFlow-EN-10k") # pass a tensor (tensor_wav) of shape (batch, channels, samples) and a sample rate wav, sr = tensor_wav, 16000 watermark = model.get_watermark(wav, sr) watermarked_audio = wav + watermark# Watermark Detector from audioseal import AudioSeal detector = AudioSeal.load_detector("VoiceHub/DACFlow-EN-10k") result, message = detector.detect_watermark(watermarked_audio, sr) - Notebooks
- Google Colab
- Kaggle
showcase: refresh the card
Browse files- README.md +1 -1
- showcase.json +9 -2
README.md
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| Checkpoint | echo-dev WER β | echo-dev SIM-o β | echo-dev UTMOS β (real speech: 4.20) | seed-dev WER β | seed-dev SIM-o β | seed-dev UTMOS β (real speech: 3.52) | Samples | Weights |
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| **step 170k** (newest) |
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| step 160k | 0.81 % | 0.796 | 3.98 | 1.58 % | 0.349 | 3.66 | [listen](#listen) | [files](https://huggingface.co/VoiceHub/DACFlow-EN-10k/tree/main/checkpoints/step_0160000) |
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| step 150k | 0.53 % | 0.794 | 3.93 | - | - | - | [listen](#listen) | [files](https://huggingface.co/VoiceHub/DACFlow-EN-10k/tree/main/checkpoints/step_0150000) |
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| step 140k | 0.58 % | 0.793 | 3.92 | 1.60 % | 0.404 | 3.81 | [listen](#listen) | [files](https://huggingface.co/VoiceHub/DACFlow-EN-10k/tree/main/checkpoints/step_0140000) |
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| Checkpoint | echo-dev WER β | echo-dev SIM-o β | echo-dev UTMOS β (real speech: 4.20) | seed-dev WER β | seed-dev SIM-o β | seed-dev UTMOS β (real speech: 3.52) | Samples | Weights |
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| **step 170k** (newest) | 1.01 % | 0.796 | 3.97 | - | - | - | [listen](#listen) | [files](https://huggingface.co/VoiceHub/DACFlow-EN-10k/tree/main/checkpoints/step_0170000) |
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| step 160k | 0.81 % | 0.796 | 3.98 | 1.58 % | 0.349 | 3.66 | [listen](#listen) | [files](https://huggingface.co/VoiceHub/DACFlow-EN-10k/tree/main/checkpoints/step_0160000) |
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| step 150k | 0.53 % | 0.794 | 3.93 | - | - | - | [listen](#listen) | [files](https://huggingface.co/VoiceHub/DACFlow-EN-10k/tree/main/checkpoints/step_0150000) |
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| step 140k | 0.58 % | 0.793 | 3.92 | 1.60 % | 0.404 | 3.81 | [listen](#listen) | [files](https://huggingface.co/VoiceHub/DACFlow-EN-10k/tree/main/checkpoints/step_0140000) |
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showcase.json
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"checkpoints": {
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"en_base/step_0020000": {
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"note": "Main model (M4 base pretraining): the 206 M base preset on the full provided data",
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"params_m": 206.41,
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"preset": "base",
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"card_sha": "4c04d9fd56669de7",
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"checkpoints": {
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"en_base/step_0020000": {
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"added": "2026-10-03T02:01:41Z",
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"folder": "checkpoints/step_0170000",
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"metrics": {
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"echo_dev": {
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"n": 260,
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"sim_o": 0.7958178685261653,
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"utmos": 3.9733734222558827,
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"wer": 0.010128913443830571
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}
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},
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"note": "Main model (M4 base pretraining): the 206 M base preset on the full provided data",
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"params_m": 206.41,
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"preset": "base",
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