Instructions to use build-small-hackathon/baby-mynah-welsh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- VoxCPM
How to use build-small-hackathon/baby-mynah-welsh with VoxCPM:
import soundfile as sf from voxcpm import VoxCPM model = VoxCPM.from_pretrained("build-small-hackathon/baby-mynah-welsh") wav = model.generate( text="VoxCPM is an innovative end-to-end TTS model from ModelBest, designed to generate highly expressive speech.", prompt_wav_path=None, # optional: path to a prompt speech for voice cloning prompt_text=None, # optional: reference text cfg_value=2.0, # LM guidance on LocDiT, higher for better adherence to the prompt, but maybe worse inference_timesteps=10, # LocDiT inference timesteps, higher for better result, lower for fast speed normalize=True, # enable external TN tool denoise=True, # enable external Denoise tool retry_badcase=True, # enable retrying mode for some bad cases (unstoppable) retry_badcase_max_times=3, # maximum retrying times retry_badcase_ratio_threshold=6.0, # maximum length restriction for bad case detection (simple but effective), it could be adjusted for slow pace speech ) sf.write("output.wav", wav, 16000) print("saved: output.wav") - Notebooks
- Google Colab
- Kaggle
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Browse files
README.md
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# baby mynah — Welsh accent (LoRA for VoxCPM-0.5B)
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A LoRA adapter that voices [VoxCPM-0.5B](https://huggingface.co/openbmb/VoxCPM-0.5B)
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in the **Welsh** accent of a single VCTK speaker. One of
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behind the [**baby mynah** Space](https://huggingface.co/spaces/build-small-hackathon/baby-mynah), where
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you can slide between any two of them in weight space.
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# baby mynah — Welsh accent (LoRA for VoxCPM-0.5B)
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A LoRA adapter that voices [VoxCPM-0.5B](https://huggingface.co/openbmb/VoxCPM-0.5B)
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in the **Welsh** accent of a single VCTK speaker. One of the accent experts
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behind the [**baby mynah** Space](https://huggingface.co/spaces/build-small-hackathon/baby-mynah), where
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you can slide between any two of them in weight space.
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