A Multidomain Generative Adversarial Network for Hoarse-to-Normal Voice Conversion

Hoarse voice affects the efficiency of communication between people. However, surgical treatment may result in patients with poorer voice quality, and voice repair techniques can only repair vowels. In this paper, we propose a novel multidomain generative adversarial voice conversion method to achieve hoarse-to-normal voice conversion and personalize voices for patients with hoarseness. The proposed method aims to improve the speech quality of hoarse voices through a multidomain generative adversarial network.
Source: Journal of Voice - Category: ENT & OMF Authors: Source Type: research