Emotional voice conversion: Theory, databases and ESD

Resource type
Authors/contributors
Title
Emotional voice conversion: Theory, databases and ESD
Abstract
In this paper, we first provide a review of the state-of-the-art emotional voice conversion research, and the existing emotional speech databases. We then motivate the development of a novel emotional speech database (ESD) that addresses the increasing research need. With this paper, the ESD database1 is now made available to the research community. The ESD database consists of 350 parallel utterances spoken by 10 native English and 10 native Chinese speakers and covers 5 emotion categories (neutral, happy, angry, sad and surprise). More than 29 h of speech data were recorded in a controlled acoustic environment. The database is suitable for multi-speaker and cross-lingual emotional voice conversion studies. As case studies, we implement several state-of-the-art emotional voice conversion systems on the ESD database. This paper provides a reference study on ESD in conjunction with its release.
Publication
Speech Communication
Volume
137
Pages
1-18
Date
02/2022
Journal Abbr
Speech Communication
Language
en
ISSN
01676393
Short Title
Emotional voice conversion
Accessed
17/04/2025, 13:02
Library Catalog
DOI.org (Crossref)
Citation
Zhou, K., Sisman, B., Liu, R., & Li, H. (2022). Emotional voice conversion: Theory, databases and ESD. Speech Communication, 137, 1–18. https://doi.org/10.1016/j.specom.2021.11.006