SeamlessM4T builds on previous projects aimed at creating a universal translator, including the No Language Left Behind (NLLB) model and the Universal Speech Translator. The new model reduces errors and increases efficiency in the translation process, enabling more effective communication between speakers of different languages. The development of SeamlessM4T is part of ongoing efforts to use AI technology to connect people across languages, with future plans to explore new communication capabilities.
Key takeaways:
- SeamlessM4T, the first all-in-one multimodal and multilingual AI translation model, has been introduced, supporting speech and text translation across different languages.
- SeamlessM4T supports speech recognition, speech-to-text, speech-to-speech, text-to-text, and text-to-speech translation for nearly 100 languages.
- The model is being released under a research license to allow researchers and developers to build on this work, along with the metadata of SeamlessAlign, the largest open multimodal translation dataset to date.
- SeamlessM4T builds on advancements from previous projects, aiming to create a universal translator, and is part of an ongoing effort to build AI-powered technology that helps connect people across languages.