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SIMPLE4ALL: Speech synthesis that improves through adaptive learning

Year 2016

Title SIMPLE4ALL: Speech synthesis that improves through adaptive learning

Leader Juan Manuel Montero Martínez

Strategic Areas Interaction & Interfaces

Technologies
Multimedia Content Technologies

Funding Entity Comisión Europea

The Simple4All project will create speech synthesis technology that learns from data with little or no expert supervision and continually improves itself, simply by being used.
In order to be accepted by users, the voice of a spoken interaction system must be natural and appropriate for the content. Using the same voice for every application is not acceptable to users.
But creating a speech synthesiser for a new language or domain is too expensive, because current technology relies on labelled data and human expertise. Systems comprise rules, statistical models, and data, requiring careful tuning by experienced engineers.

Source: Cordis Europa.