Overview of Voice Conversion Methods Based on Deep Learning

Author:

Walczyna Tomasz1ORCID,Piotrowski Zbigniew1ORCID

Affiliation:

1. Institute of Communication Systems, Faculty of Electronics, Military University of Technology, 00-908 Warsaw, Poland

Abstract

Voice conversion is a process where the essence of a speaker’s identity is seamlessly transferred to another speaker, all while preserving the content of their speech. This usage is accomplished using algorithms that blend speech processing techniques, such as speech analysis, speaker classification, and vocoding. The cutting-edge voice conversion technology is characterized by deep neural networks that effectively separate a speaker’s voice from their linguistic content. This article offers a comprehensive overview of the development status of this area of science based on the current state-of-the-art voice conversion methods.

Funder

National Centre for Research and Development

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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