Instructions to use LyngualLabs/YorubaEnglish-CodeSwitching-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- VoxCPM
How to use LyngualLabs/YorubaEnglish-CodeSwitching-TTS with VoxCPM:
import soundfile as sf from voxcpm import VoxCPM model = VoxCPM.from_pretrained("LyngualLabs/YorubaEnglish-CodeSwitching-TTS") 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
Replace Energetic voice with Angry (cloned from real YECS clip)
Browse files- .gitattributes +1 -0
- samples/voice_angry.wav +3 -0
.gitattributes
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@@ -44,3 +44,4 @@ samples/voice_youngman.wav filter=lfs diff=lfs merge=lfs -text
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samples/sample_long.wav filter=lfs diff=lfs merge=lfs -text
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samples/sample_long_codeswitch.wav filter=lfs diff=lfs merge=lfs -text
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samples/sample_long_english.wav filter=lfs diff=lfs merge=lfs -text
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samples/sample_long.wav filter=lfs diff=lfs merge=lfs -text
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samples/sample_long_codeswitch.wav filter=lfs diff=lfs merge=lfs -text
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samples/sample_long_english.wav filter=lfs diff=lfs merge=lfs -text
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samples/voice_angry.wav filter=lfs diff=lfs merge=lfs -text
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samples/voice_angry.wav
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:7b6d266733d74804a2f74161b5d0b60f449bd8c57e7e320a81e7613869e89e94
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size 814124
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