Applied Sciences, Vol. 13, Pages 3100: Overview of Voice Conversion Methods Based on Deep Learning

Applied Sciences, Vol. 13, Pages 3100: Overview of Voice Conversion Methods Based on Deep Learning

Applied Sciences doi: 10.3390/app13053100

Authors: Tomasz Walczyna Zbigniew Piotrowski

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.