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22 de ago. de 2023 · SeamlessM4T supports: Automatic speech recognition for nearly 100 languages. Speech-to-text translation for nearly 100 input and output languages. Speech-to-speech translation, supporting nearly 100 input languages and 35 (+ English) output languages. Text-to-text translation for nearly 100 languages.
- SeamlessM4T—Massively Multilingual & Multimodal Machine Translation
Abstract. What does it take to create the Babel Fish, a tool...
- Meta's New AI-powered Speech Translation System for Hokkien Pioneers a New Approach for an Unwritten Language
We're open-sourcing the first AI-powered translation system...
- Seamless Communication
Foundational model for universal translation. SeamlessM4T...
- Seamless Communication Models
A unified model. Seamless merges the quality and...
- SeamlessM4T—Massively Multilingual & Multimodal Machine Translation
- Seamless Intro
- Links
- Tutorial
- SeamlessM4T
- SeamlessExpressive
- SeamlessStreaming
- Seamless
- What's new
- Running inference
- Running SeamlessStreaming Demo
- GeneratedCaptionsTabForHeroSec
Seamless is a family of AI models that enable more natural and authentic communication across languages. SeamlessM4T is a massive multilingual multimodal machine translation model supporting around 100 languages. SeamlessM4T serves as foundation for SeamlessExpressive, a model that preserves elements of prosody and voice style across languages and ...
An exhaustive tutorial given at the NeurIPS 2023 - Seamless EXPO, which is a one-stop shop to learn how to use the entire suite of Seamless models. Please feel free to play with the notebook.
SeamlessM4T is our foundational all-in-one Massively Multilingual and Multimodal Machine Translation model delivering high-quality translation for speech and text in nearly 100 languages.
SeamlessM4T models support the tasks of:
•Speech-to-speech translation (S2ST)
•Speech-to-text translation (S2TT)
•Text-to-speech translation (T2ST)
•Text-to-text translation (T2TT)
SeamlessExpressive is a speech-to-speech translation model that captures certain underexplored aspects of prosody such as speech rate and pauses, while preserving the style of one's voice and high content translation quality.
To learn more about SeamlessExpressive models, visit the SeamlessExpressive README or 🤗 Model Card
SeamlessStreaming is a streaming translation model. The model supports speech as input modality and speech/text as output modalities.
The SeamlessStreaming model supports the following tasks:
•Speech-to-speech translation (S2ST)
•Speech-to-text translation (S2TT)
•Automatic speech recognition (ASR)
To learn more about SeamlessStreaming models, visit the SeamlessStreaming README or 🤗 Model Card
The Seamless model is the unified model for expressive streaming speech-to-speech translations.
•[12/18/2023] We are open-sourcing our Conformer-based W2v-BERT 2.0 speech encoder as described in Section 3.2.1 of the paper, which is at the core of our Seamless models.
•[12/14/2023] We are releasing the Seamless tutorial given at NeurIPS 2023.
SeamlessM4T Inference
Here’s an example of using the CLI from the root directory to run inference. S2ST task: T2TT task: Please refer to the inference README for detailed instruction on how to run inference and the list of supported languages on the source, target sides for speech, text modalities. For running S2TT/ASR natively (without Python) using GGML, please refer to the unity.cpp section.
SeamlessExpressive Inference
Here’s an example of using the CLI from the root directory to run inference.
SeamlessStreaming and Seamless Inference
Streaming Evaluation README has detailed instructions for running evaluations for the SeamlessStreaming and Seamless models. The CLI has an --no-scoring option that can be used to skip the scoring part and just run inference.
You can duplicate the SeamlessStreaming HF space to run the streaming demo.
You can also run the demo locally, by cloning the space from here. See the README of the SeamlessStreaming HF repo for more details on installation.
SeamlessM4T is a model that supports speech and text translation in nearly 100 languages. It is part of the Seamless family of AI models that enable natural and authentic communication across languages.
SeamlessM4T-v2 is a model that can generate natural language from text or speech input. It is part of the transformers library, which requires installation from source. Learn more about the Hugging Face community and its features.
22 de ago. de 2023 · SeamlessM4T is a single model that can perform speech and text translations for up to 100 languages. It is the first all-in-one multilingual multimodal AI translation and transcription model, released by Meta under a research license.
SeamlessM4T v2 is a transformer-based model that supports speech-to-speech, speech-to-text, text-to-speech and text-to-text translation in 96 languages. It is available in the 🤗 Transformers library and can be used for inference and finetuning.
