Meta introduced the first multilingual multimodal AI translation model

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SeamlessM4T: A Multimodal Translation Model with Speech-to-Speech and Speech-to-Text Capabilities

SeamlessM4T is an advanced translation model that offers a comprehensive solution for overcoming the limitations of previous systems. It provides both speech-to-speech and speech-to-text translation and transcription capabilities. With support for nearly 100 languages for input and output, SeamlessM4T is a versatile tool for multilingual communication.

The model utilizes an unsupervised speech encoder that can understand multiple languages by analyzing millions of hours of multilingual speech. By breaking down the audio into speech segments and creating an internal representation of the speech, SeamlessM4T ensures accurate and efficient translation.

Additionally, SeamlessM4T features a text encoder that understands 100 languages, further enhancing its translation capabilities.

Key Points:

  • SeamlessM4T is an all-in-one translation model that offers speech-to-speech and speech-to-text translation and transcription capabilities.
  • It supports nearly 100 languages for input and output.
  • The model utilizes an unsupervised speech encoder to understand multiple languages by analyzing multilingual speech.
  • SeamlessM4T also includes a text encoder that understands 100 languages.

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