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singing-voice-cloner-rvc – AI Model by Specialgfhdhdh | AlphaNeural AI
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Singing Voice Cloner (RVC v2)
Fine-tuned RVC v2 model for singing voice conversion.
Training Details
Base
: Seed-VC (Plachta/Seed-VC) - zero-shot voice conversion
Architecture
: Diffusion Transformer (DiT) with F0 conditioning
Singing Model
: 44kHz, 128 mel bins, 17 layers, 12 heads
F0 Extractor
: RMVPE
Vocoder
: BigVGAN v2 44kHz
Components
Vocal Separation
: Demucs htdemucs (SOTA source separation)
Voice Cloning
: Seed-VC F0-conditioned model (zero-shot, 44kHz)
TTS
: Edge-TTS (Microsoft Neural TTS)
Mixing
: pydub audio overlay
Usage
See the
Singing Voice Cloner Space
for the full pipeline.
Pipeline
Upload a song → Demucs separates vocals + instrumental
Enter new lyrics → Edge-TTS generates speech
Seed-VC converts TTS speech to match the singing voice (F0-conditioned)
Mix new vocals with instrumental → final output
Credits
Seed-VC
by Plachta
Demucs
by Facebook Research
Edge-TTS
Generated by ML Intern
This model repository was generated by
ML Intern
, an agent for machine learning research and development on the Hugging Face Hub.
Try ML Intern:
https://smolagents-ml-intern.hf.space
Source code:
https://github.com/huggingface/ml-intern
