so-vits-svc fork with realtime support, improved interface and more features.
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Updated
Jun 18, 2024 - Python
so-vits-svc fork with realtime support, improved interface and more features.
Collect Voice Conversion researches
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
End-to-End Speech Processing Toolkit
VITS-based Voice Conversion focused on simplicity, quality and performance.
Easily train a good VC model with voice data <= 10 mins!
🤖 + 🐳 + 🐧 Monadic Chat is a framework designed to create and use intelligent chatbots. By providing a full-fledged Linux environment on Docker to GPT-4 and other LLMs, it allows the chatbots to perform advanced tasks that require external tools for searching, coding, testing, analysis, visualization, and more.
The best gradio web-ui for creating cover song that uses mdx-net and rvc. Easy one click installation. Fully portable.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
This project uses YOLO models for efficient object detection with a Streamlit interface. Users can upload images or video streams for real-time detection. It supports YOLOv7, YOLOv8, and YOLOv9, offering flexibility and high accuracy in various scenarios.
Easily train a good VC model with voice data <= 10 mins!
A real-time voice changer application using WebSockets and ONNX/TensorFlow/PyTorch
RVC CLI enables seamless interaction with Retrieval-based Voice Conversion through commands or HTTP requests.
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
Training code for FAcodec presented in NaturalSpeech3
A sequence-to-sequence voice conversion toolkit.
İstediğiniz sesi, istediğiniz sese dönüştürebilirsiniz.
voice talk service
Voice control for ChatGPT. Talk to ChatGPT and hear ChatGPT's responses in a natural voice.
[ASRU 2023] Code of paper SALT: Distinguishable Speaker Anonymization Through Latent Space Transformation
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