Last Updated: 5th Mar 2023

Recent progress in deep generative models has improved the quality of neural vocoders in speech domain. However, generating a high-quality singing voice remains challenging due to a wider variety of musical expressions in pitch, loudness, and pronunciations. In this work, we propose a hierarchical diffusion model for singing voice neural vocoders. The proposed method consists of...

Last Updated: 5th Mar 2023

Primary goal of an emotional voice conversion (EVC) system is to convert the emotion of a given speech signal from one style to another style without modifying the linguistic content of the signal. Most of the state-of-the-art approaches convert emotions for seen speaker-emotion combinations only. In this paper, we tackle the problem of converting the emotion of speakers whose only neutral data are present during the time of training and testing (i.e., unseen speaker-emotion combinations). To this end...

Last Updated: 5th Mar 2023

Image-to-image translation and voice conversion enable the generation of a new facial image and voice while maintaining some of the semantics such as a pose in an image and linguistic content in audio, respectively. They can aid in the content-creation process in many applications. However, as they are limited to the conversion...

Last Updated: 5th Mar 2023

Many existing works on singing voice conversion (SVC) require clean recordings of target singer's voice for training. However, it is often difficult to collect them in advance and singing voices are often distorted with reverb and accompaniment music. In this work, we propose robust one-shot SVC (ROSVC) that performs any-to-any SVC robustly even on such distorted singing voices using less than 10s of a reference voice. To this end...