Multimodal multilingual LLM

#llms #democratizer

SeamlessM4T is a single multilingual and multimodal model that can multitask to translate and transcribe with multiple input and Output languages.

🗒 Some of the tasks SeamlessM4T model can do:

☑️Speech to Speech Translation
☑️Speech to Text translation
☑️Text to Speech translation
☑️Text to Text translation
☑️Automatic Speech recognition.

↗ This is a significant improvement over previous machine translation models, which could only translate speech to text in a handful of languages with limited output languages. 💡 SeamlessM4T is also able to implicitly recognize the source language, without the need for a separate language identification model.

Built from the work done and the understanding of some of this models :

🔎 No Language Left Behind (NLLB). A text-to-text machine translation model that supports 200 languages.

🔎 Massively Multilingual Speech. Provides automatic speech recognition, language identification, and speech synthesis technology across more than 1,100 languages.

🔎 Universal Speech Translator. Model unwritten language through speech to speech translations.

🔎 Speech Matrix. Large-scale Mined Corpus of Multilingual Speech-to-Speech Translations.

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