CORDIS Project
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This project focuses on improving text-to-speech technology by developing a method for adapting a speaker's voice characteristics to different languages. Using statistical models, it aims to enhance speech synthesis quality while requiring minimal adaptation data.
Unit selection has been the dominant approach to text-to-speech synthesis (TTS) in the last decade.
Recently, statistical TTS (STS) is proposed where statistical models are used for speech synthesis.
The high quality and intelligibility speech it generates, the flexibility it offers in voice/speaker/emotion conversion, and its small memory requirements make STS systems a strong candidate to be the dominant TTS technology in the next decade.
One of the most exciting research directions in the STS…
OZYEGIN UNIVERSITESI
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