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Audio generation using diffusion models, in PyTorch.
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You can also find more comprehensive list on and There's an AI AI Voice Cloning list.
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Fast inference engine for whisper in C++ using CTranslate2.
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Speech recognition toolkit with streaming ASR, VAD, punctuation, speaker diarization, and OpenAI-compatible serving for voice AI applications.
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Port of OpenAI's Whisper model in C/C++. It can be executed locally.
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Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
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Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.
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A simple notebook demonstrating prompt-based music generation via Mubert API.
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An open-source framework by NVIDIA for building speech AI systems, including automatic speech recognition and text-to-speech. opensource.
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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.
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Works with speech, voice, music or other audio using machine-learning models.
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An Optimized Speech-to-Text Pipeline for the Whisper Model.
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Works with speech, voice, music or other audio using machine-learning models.
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Free tool to create viral videos from YouTube, generating clips optimized for TikTok and Instagram with automatic transcription and 9:16 editing.
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An offline speech recognition toolkit with C++ support, designed for low-resource devices and multiple languages.
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A simple and efficient end-to-end Automatic Speech Recognition (ASR) system from Facebook AI Research.
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A Whisper CLI client compatible with the original OpenAI client, using CTranslate2 for faster inference. opensource.
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Port of OpenAI's Whisper model in C/C++. opensource.