I. Introduction
Meta AI's recent blockbuster actions have been frequent, and a series of open source large models have been released in just over a month. Let's take a look at the influential products.
July 14, 2023
Meta AI is proud to present CM3leon, the first multimodal model that achieves state-of-the-art text-to-image generation performance that is 5x more computationally efficient than competing models.
July 18, 2023
Meta and Microsoft present the next generation of Llama, Llama 2 is free for research and commercial use.
Llama 2 is Meta's open source Large Language Model (LLM). It's basically Facebook's parent company's answer to OpenAI's GPT model and Google's AI models like PaLM 2, but with one key difference: it's almost free for anyone to use for research and commercial purposes. August 16, 2023
August 2, 2023
Meta's parent company, Facebook, has launched a new generative artificial intelligence tool called AudioCraft, which allows users to create high-quality audio and music using text prompts. The tool includes audio models MusicGen, AudioGen, and EnCodec, which can generate music and audio from text prompts.
AudioCraft consists of three models: MusicGen, AudioGen, and EnCodec. MusicGen was trained on Meta-owned and exclusively licensed music to generate music from text prompts, while AudioGen was trained on public sound effects to generate audio from text prompts.
August 23, 2023
Meta AI is proud to present SeamlessM4T, the first all-in-one multilingual multimodal translation model. This single model can perform speech-to-text, speech-to-speech, text-to-text translation and speech recognition tasks in up to 100 languages depending on the task.
On the same day, MetaAI's new SeamlessM4T model is now available on Hugging Face!
August 24, 2023 (planned)
According to The Information, Meta plans to release Code Llama, an open-source code generation AI model, on Thursday (August 24). The model is designed to help developers automatically recommend code snippets when writing code to improve development efficiency, and it also aims to make it easier for companies to create AI assistants.
Today, we will mainly introduce the SeamlessM4T multilingual and multitasking model.
2. About SeamlessM4T
Meta AI released an AI open source language translation model called SeamlessM4T on August 23, 2023, which can help users transcribe and translate nearly 100 languages. The model, developed based on Meta's AI technology, can help users translate various languages faster and more accurately. Meta AI claims it outperforms existing models on noisy transcriptions and less common languages, trained on billions of sentences and millions of hours of speech data.
SeamlessM4T represents a major breakthrough in speech-to-speech and speech-to-text by addressing the challenges of limited language coverage and reliance on separate systems.
The SeamlessM4T large model can run on the free T4 VRAM provided by Google Colab, which occupies about 6GB of VRAM on T4. If you are interested, you can quickly experience it. The address of Colab is at the end of the article.
SeamlessM4T is a foundational multilingual and multitasking model that can seamlessly translate and transcribe speech and text. SeamlessM4T supports:
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Automatic speech recognition for nearly a hundred languages
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Speech-to-text translation of nearly 100 input and output languages
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Speech translation, supports nearly 100 input languages and 35 (+English) output languages
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Text-to-text translation in nearly 100 languages
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Text-to-speech translation with support for nearly 100 input languages and 35 (+English) output languages
Compared to cascaded methods, SeamlessM4T's single-system approach reduces errors and delays, improves translation efficiency and quality, and delivers state-of-the-art results.
Regarding the SeamlessM4T model, using the multi-task UnitY model architecture, it is able to directly generate translated text and speech. This new architecture also supports automatic speech recognition, text-to-text, text-to-speech, speech-to-text, and speech-to-speech translation, which are already part of the normal UnityY model. The multitasking UnitY model consists of three main sequential components. The text and speech encoder is tasked with recognizing speech input in nearly 100 languages. A text decoder then translates that meaning into nearly 100 text languages, which are then decoded into discrete acoustic units for 36 speech languages using a text-to-unit model. Pre-train self-supervised encoders, speech-to-text, text-to-text translation components, and text-to-cell models to improve model quality and training stability. The decoded discrete units are then converted to speech using a multilingual HiFi-GAN unit vocoder.
SeamlessM4T is a very advanced AI translation model, which uses the latest deep learning technology to achieve high-precision translation. The model is also highly adaptive and can be automatically adjusted and optimized according to the user's needs to provide better translation results.
In addition to translation, SeamlessM4T can also help users with speech transcription and text transcription. This means users can convert speech or text into any of the supported languages through the model. This is very useful for those who need to communicate across languages.
The application scenarios of SeamlessM4T are very extensive. For example, in the fields of international trade, tourism, education, etc., SeamlessM4T can help people communicate better across languages. In addition, in government, medical and other fields, SeamlessM4T can also play an important role.
3. Summary
In short, SeamlessM4T is a very powerful and advanced AI translation model, which can help users communicate better across languages. If you need to communicate across languages, then SeamlessM4T is definitely a tool worth trying.
4. References
- SeamlessM4T GitHub Repo
- https://github.com/facebookresearch/seamless_communication
- SeamlessM4T Pager
- https://ai.meta.com/research/publications/seamless-m4t/
- SeamlessM4T News
- https://ai.meta.com/blog/seamless-m4t/
- Hugging Face Space
- https://huggingface.co/models?search=facebook/seamless-m4t
- SeamlessM4T Demo
- https://seamless.metademolab.com/demo
- SeamlessM4T Colab
- https://github.com/camenduru/seamless-m4t-colab