multilingual speech and text translation
Seamless is a family of foundational AI models for multilingual speech and text translation, including speech-to-speech, speech-to-text, and text-to-text translation across ~100 languages.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
PaddlePaddle-based speech toolkit with speech translation, if you prefer a broader toolkit over a single model.
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
End-to-end speech processing toolkit with translation support, if you want a research-oriented framework.
End-to-End Speech Processing Toolkit
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
ASR model that translates speech into English text, if you only need text output and lighter deployment.
Robust Speech Recognition via Large-Scale Weak Supervision
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
End-user Windows app for real-time speech translation, not an integrable library.
Lightweight and powerful real-time audio/speech translation tool based on Windows LiveCaptions.
These projects were analysed and named seamless_communication among their alternatives. The relationship is not symmetric — how seamless_communication rates them is a separate judgement, made when seamless_communication is analysed in its own right.
calls seamless_communication “choose for speech-to-speech/text translation models, not general ASR/TTS development.”
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)