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Audio generation using diffusion models, in PyTorch.
You can also find more comprehensive list on and There's an AI AI Voice Cloning list.
Fast inference engine for whisper in C++ using CTranslate2.
Speech recognition toolkit with streaming ASR, VAD, punctuation, speaker diarization, and OpenAI-compatible serving for voice AI applications.
Port of OpenAI's Whisper model in C/C++. It can be executed locally.
Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.
A simple notebook demonstrating prompt-based music generation via Mubert API.
An open-source framework by NVIDIA for building speech AI systems, including automatic speech recognition and text-to-speech. opensource.
On-device voice dictation for macOS — transcribes a 5-minute clip in 2.8 s; noise-robust, paste at cursor. 99 languages, ~8 MB, no telemetry. MIT.
Works with speech, voice, music or other audio using machine-learning models.