Overview of Voice Conversion Methods Based on Deep Learning

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