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META’s new text-to-speech for 1,100+ languages

Categories

:AI Voice RecognitionAI Text Generators

Tags

:#Speech To Text#Text To Speech#Multilingual#Natural Language Processing#Ai Research

SOURCE: Meta

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Massively Multilingual Speech: Expanding Speech Technology to Over 1,100 Languages

The Massively Multilingual Speech (MMS) project represents a significant leap forward in speech technology, expanding support from approximately 100 languages to over 1,100 languages. This initiative aims to make information accessible to a broader audience, including those who rely on voice for information access, by equipping machines with the ability to recognize and produce speech in multiple languages.

Key Features

  • Supports speech-to-text and text-to-speech for 1,107 languages.
  • Offers language identification for over 4,000 languages.
  • Utilizes self-supervised learning and a new dataset for model training.
  • Outperforms existing models in multilingual speech recognition.

Main Use Cases

  • Enhancing accessibility for individuals who rely on voice to access information.
  • Preserving endangered languages by making them usable in technology.
  • Enabling more inclusive communication in various applications, from messaging services to VR/AR technology.

How to Use

  • Access the models and code on GitHub for research and development purposes.
  • Utilize the dataset for training new speech recognition and synthesis models.
  • Implement the technology in applications to support multilingual speech functionalities.

User Experience

The MMS project has demonstrated promising results in evaluations against benchmark datasets, showing a significant improvement in language coverage and performance compared to existing models. The models have been designed to minimize gender bias and domain-specific biases, ensuring equitable performance across different user groups.

Potential Limitations

  • The dataset primarily consists of religious texts, which may limit the diversity of content the models are exposed to.
  • The models may still have limitations in handling dialects and specific accents.
  • There is a risk of mistranscription, which could lead to offensive or inaccurate language output.

The MMS project underscores the commitment to advancing speech technology for a more inclusive and linguistically diverse world, inviting the research community to contribute to this ongoing effort.

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