Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Anadilorg
/
Anadil_Uzbek_TTS

Text-to-Speech
VoxCPM
Uzbek
tts
speech-synthesis
audio
uzbek
o‘zbek
turkic
lora
Model card Files Files and versions
xet
Community

Instructions to use Anadilorg/Anadil_Uzbek_TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • VoxCPM

    How to use Anadilorg/Anadil_Uzbek_TTS with VoxCPM:

    import soundfile as sf
    from voxcpm import VoxCPM
    
    model = VoxCPM.from_pretrained("Anadilorg/Anadil_Uzbek_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
Anadil_Uzbek_TTS / samples
2.27 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Anadilorg's picture
Anadilorg
Publish Anadil Uzbek TTS package
f327641 verified 23 days ago
  • 1.wav
    160 kB
    xet
    Publish Anadil Uzbek TTS package 23 days ago
  • 1a.wav
    645 kB
    xet
    Publish Anadil Uzbek TTS package 23 days ago
  • 2.wav
    89.7 kB
    Publish Anadil Uzbek TTS package 23 days ago
  • 2a.wav
    338 kB
    xet
    Publish Anadil Uzbek TTS package 23 days ago
  • 3.wav
    83.2 kB
    Publish Anadil Uzbek TTS package 23 days ago
  • 3a.wav
    230 kB
    xet
    Publish Anadil Uzbek TTS package 23 days ago
  • 4.wav
    70.4 kB
    Publish Anadil Uzbek TTS package 23 days ago
  • 4a.wav
    261 kB
    xet
    Publish Anadil Uzbek TTS package 23 days ago
  • 5.wav
    67.3 kB
    Publish Anadil Uzbek TTS package 23 days ago
  • 5a.wav
    323 kB
    xet
    Publish Anadil Uzbek TTS package 23 days ago