Search Results for author: Maryam Fazel-Zarani

Found 1 papers, 0 papers with code

EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis

no code implementations10 Aug 2023 Tu Anh Nguyen, Wei-Ning Hsu, Antony D'Avirro, Bowen Shi, Itai Gat, Maryam Fazel-Zarani, Tal Remez, Jade Copet, Gabriel Synnaeve, Michael Hassid, Felix Kreuk, Yossi Adi, Emmanuel Dupoux

Recent work has shown that it is possible to resynthesize high-quality speech based, not on text, but on low bitrate discrete units that have been learned in a self-supervised fashion and can therefore capture expressive aspects of speech that are hard to transcribe (prosody, voice styles, non-verbal vocalization).

Resynthesis Speech Synthesis

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