Meta’s MMS – Speech2Text & Text2Speech

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新的AI语音工作可以支持超过1,100种语言

昨天，Meta分享了他们在AI语音方面的新进展。他们的大规模多语种（MMS）语音项目已经将语音转文字和文本到语音的支持范围扩大到超过1,100种语言，这是以前工作的十倍增长。MMS对语音识别和语音生成技术的世界是一场革命。这个由Meta领导的项目旨在通过使机器能够识别和生成超过1,000种语言的语音来消除语言障碍，比任何现有的语音识别或语音生成模型覆盖的语言数量多10倍。有了这个多模型系统，来自世界各地的人们可以在他们首选的语言中有效地访问信息和进行沟通，从而在全球范围内保护语言多样性。

MMS项目的影响

MMS项目为语音识别和语音生成的多模型系统在多种语言环境下提供了解决方案。这种技术的影响是巨大的，特别是在客户支持方面。现在，客户支持团队可以借助MMS的帮助，更好地与全球不同语言环境下的客户进行沟通。无论客户所使用的语言是哪种，MMS都能够提供准确的语音识别和生成，从而改善客户体验。

此外，MMS项目还提供了公开的代码和模型，使其他研究人员可以在其基础上构建并为保护世界上的语言多样性做出贡献。虽然这些模型并不完美，可能会在翻译某些词语或短语时出现错误，但该项目认识到AI社区内合作的重要性，以确保负责任地开发AI技术。

致未来的沟通的重要一步

MMS项目代表了实现跨语言和文化沟通的重要一步。随着技术的进步，未来的沟通前景变得光明起来。它可以打破历史上存在的语言障碍，鼓励人们保持他们的语言，并创造一个技术可以有效理解和沟通任何语言的世界。虽然这只是一个开始，但MMS项目对于实现这一目标迈出了重要的一步。

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视频描述

Well, here is some super exciting news from yesterday! Meta's Massively Multilingual Speech project has made impressive progress in enabling machines to recognize and produce speech in over 1,100 languages, covering ten times more languages than any existing speech recognition or speech generation model. It's heartening to see that Meta is working towards breaking down language barriers and enabling people from all over the world to access information and communicate effectively in their preferred language.

The MMS project has addressed a significant challenge in creating a multi-modal system for speech recognition and generation by using Bible translations to create a dataset of readings in over 1,100 languages, combined with unlabeled audio recordings from various religious readings, providing labeled data for 1,100 languages and unlabeled data for nearly 4,000 languages.

What's exciting is that Meta has provided code and models publically so that other researchers can build upon their work and make contributions to the preservation of language diversity. This is an important step towards creating a world where technology can understand and communicate in any language, effectively preserving linguistic diversity. Overall, the Massively Multilingual Speech (MMS) project represents a significant step towards achieving this goal.

The Massively Multilingual Speech (MMS) project is an incredible advancement in the field of artificial intelligence and language technology. The project's ability to recognize and produce speech in over 1,100 languages is revolutionary and has the potential to make a significant impact on how people communicate across the world.

One of the most significant challenges in creating a multi-model system for speech recognition and speech generation is finding the vast amounts of labeled data necessary for training such models. The MMS project overcomes this challenge by using the New Testament translations, providing labeled data for 1,100 languages and unlabeled data for nearly 4,000 languages. The results of this project show that the MMMS models outperform existing models and cover ten times as many languages.

This project has the power to make a significant impact on the future of communication, breaking down the language barriers that have historically existed and encouraging people to preserve their languages. The ability to communicate effectively in any language will positively affect global commerce and cultural exchange.

Moreover, the MMS project provides code and models publicly so that other researchers can build upon their work and make contributions to the preservation of language diversity in the world. The project recognizes the importance of collaboration within the AI community to ensure that AI technologies are developed responsibly, which is crucial for promoting trust and avoiding unintended consequences.

The MMS project represents a significant step towards achieving the goal of creating a world where technology can understand and communicate in any language, effectively preserving linguistic diversity. It holds the potential to change the way the world thinks about cross-linguistic communication. With the advancements of technology, the future is looking bright for communication across languages and cultures.

In conclusion, the MMS project signifies a fantastic achievement in the field of artificial intelligence and language technology. It will undoubtedly impact the future by breaking down language barriers and promoting linguistic diversity. It is exciting to think about the potential positive implications of this project and other advancements in AI technology in facilitating an inclusive global conversation.

Source:https://ai.facebook.com/blog/multilingual-model-speech-recognition/?utm_source=twitter&utm_medium=organic_social&utm_campaign=blog&utm_content=card

Source: Github: https://github.com/facebookresearch/fairseq/tree/main/examples/mms

Source Meta Video: https://twitter.com/i/status/1660722199395704852

Source: FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech
https://arxiv.org/abs/2205.12446

Source: Robust Speech Recognition via Large-Scale Weak Supervision: https://arxiv.org/abs/2212.04356