Responsible

Mireia Farrús

Research group

CLiC

Lead Researcher

Maria Taulé Delor

Institution

Universitat de Barcelona

Text-to-voice technology, suitable for use when the user has reading or speaking difficulties. Specifically adapted for Catalan and for environments where voice expressiveness is a relevant component.

Unlike cloud-based solutions, this system operates locally, ensuring that sensitive data are not sent through the internet. It uses deep neural networks such as Tacotron2 and models based on Transformers. It can be trained with data for a specific domain and personalised with your own voice or voices from a specific accent or dialect.

This automatic domain-specific speech synthesis technology has great potential in digital accessibility, as it provides more precise, natural, and secure tools. Some of the specific features are:

  • Screen readers
  • Voice assistants for persons with motor disabilities
  • Predictive text for persons with motor disabilities
  • Adaptive learning
  • Adaptation to dialects or regional accents
Category
  • Technology
Subject area
  • Digital Accessibility
  • Easy Reading - Clear Communication

If you would like more information, please contact us with the reference 'Automatic speech synthesis technology.'