This project is easy-to-use voice conversion tool foth lot feature.

Project Features

• Music separation (MDX-Net/Demucs)

• Voice conversion (File conversion/Batch conversion/Conversion with Whisper/Text-to-speech conversion)

• Apply effects to audio

• Generate training data (From linked paths)

• Model training (v1/v2, high-quality encoders)

• Model fusion

• Read model information

• Export models to ONNX

• Download from pre-existing model repositories

• Search for models on the web

• Pitch extraction

• Support for audio conversion inference using ONNX models

• ONNX RVC models also support indexing for inference

• Multiple model options:

F0: pm, dio, mangio-crepe-tiny, mangio-crepe-small, mangio-crepe-medium, mangio-crepe-large, mangio-crepe-full, crepe-tiny, crepe-small, crepe-medium, crepe-large, crepe-full, fcpe, fcpe-legacy, rmvpe, rmvpe-legacy, harvest, yin, pyin, swipe

F0_ONNX: Some models are converted to ONNX to support accelerated extraction

F0_HYBRID: Multiple options can be combined, such as hybrid[rmvpe+harvest], or you can try combining all options together

EMBEDDERS: contentvec_base, hubert_base, japanese_hubert_base, korean_hubert_base, chinese_hubert_base, portuguese_hubert_base

EMBEDDERS_ONNX: All the above embedding models have ONNX versions pre-converted for accelerated embedding extraction

EMBEDDERS_TRANSFORMERS: All the above embedding models have versions pre-converted to Hugging Face for use as an alternative to Fairseq

SPIN_EMBEDDERS: A new embedding extraction model that may provide higher quality than older extractions