#13 · Primary category: Speech & Audio
Speech
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Project last updated:08/29/26
GitHub Stars
18.4K
Forks
3.6K
Contributors
504
License
Apache-2.0
Why we included this project
NeMo Speech is one of the more complete open toolkits for teams building transcription, voice assistants, or text-to-speech. It covers training, fine-tuning, and deployment for automatic speech recognition, speech translation, speaker recognition and diarization, and TTS, all on PyTorch. The project regularly ships pretrained checkpoints, including streaming ASR models with adjustable latency and multilingual TTS voices, so you can often skip training from scratch. Researchers get reproducible training recipes and tutorials, and engineers have a workable route to serving models in production. It installs over your existing Python and PyTorch stack rather than forcing a specific environment, which.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
whisper.cpp
Port of OpenAI's Whisper model in C/C++
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
VibeVoice
Open-Source Frontier Voice AI
voicebox
The open-source AI voice studio. Clone, dictate, create.
TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production