Vits Collection

◆

◆

◆

◆

🔮Psychic

★★★★

“1 min voice data can also be used to train a good TTS model! (few shot voice cloning)”

◆

◆

◆

◆

🔮Psychic

★★★★

“Easily train a good VC model with voice data <= 10 mins!”

◆

◆

◆

◆

🔮Psychic

★★★★

“SOTA Open Source TTS”

◆

◆

◆

◆

🔮Psychic

★★★★

“SoftVC VITS Singing Voice Conversion”

◆

◆

◆

◆

🔥Fire

★★★

“Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages”

◆

◆

◆

◆

🔮Psychic

★★★

“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.”

◆

◆

◆

◆

🔮Psychic

★★★

“so-vits-svc fork with realtime support, improved interface and more features.”

◆

◆

◆

◆

🔮Psychic

★★★

“vits2 backbone with multilingual-bert”

◆

◆

◆

◆

🔮Psychic

★★

“A simple, high-quality voice conversion tool focused on ease of use and performance.”

◆

◆

◆

◆

🔮Psychic

★★

“Core Engine of Singing Voice Conversion & Singing Voice Clone”

◆

◆

◆

◆

🔮Psychic

★★

“GPT-SoVITS ONNX Inference Engine & Model Converter”

◆

◆

◆

◆

🔥Fire

★★

“移动版二次元 AI 老婆聊天器”

◆

◆

◆

◆

🔮Psychic

★★

“Best practice TTS based on BERT and VITS with some Natural Speech Features Of Microsoft; Support ONNX streaming out!”

◆

◆

◆

◆

⚔️Fighting

★★

“多个SVC/TTS的C++推理库”

◆

◆

◆

◆

🔮Psychic

★★

“A simple VITS HTTP API, developed by extending Moegoe with additional features.”

◆

◆

◆

◆

📦Normal

★★

“So-VITS-SVC 本地部署使用帮助文档，提供Colab笔记本 So-VITS-SVC Local Deployment Document and provide Colab notebook”

◆

◆

◆

◆

🔮Psychic

★★

“singing voice change based on whisper, and lora for singing voice clone”

◆

◆

◆

◆

🔮Psychic

★★

“ 🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥”