Reimagining speech: a scoping review of deep learning-based methods for non-parallel voice conversion

Research on deep learning-powered voice conversion (VC) in speech-to-speech scenarios are gaining increasing popularity. Although many of the works in the field of voice conversion share a common global pipeline, there is considerable diversity in the underlying structures, methods, and neural sub-b...

Полное описание

Библиографические подробности

Главные авторы:	Anders R. Bargum, Stefania Serafin, Cumhur Erkut
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Frontiers Media S.A. 2024-08-01
Серии:	Frontiers in Signal Processing
Предметы:	voice conversion voice transformations voice control deep learning disentanglement speech representation learning
Online-ссылка:	https://www.frontiersin.org/articles/10.3389/frsip.2024.1339159/full
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!