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Publikováno v:
11th ISCA Speech Synthesis Workshop (SSW 11).
Emotional voice conversion models adapt the emotion in speech without changing the speaker identity or linguistic content. They are less data hungry than text-to-speech models and allow to generate large amounts of emotional data for downstream tasks
Autor:
Jaime Lorenzo-Trueba, Thomas Merritt, Goeric Huybrechts, Giulia Comini, Raahil Shah, Bartek Perz
Publikováno v:
ICASSP
While recent neural text-to-speech (TTS) systems perform remarkably well, they typically require a substantial amount of recordings from the target speaker reading in the desired speaking style. In this work, we present a novel 3-step methodology to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc8fe0e3e6c78cde4de540f475c20726