GAN's are playing an important role in creating and generating a new set of data from the
previously available content. GAN models are impressive in the results for image and video …

In this paper, we first provide a review of the state-of-the-art emotional voice conversion
research, and the existing emotional speech databases. We then motivate the development …

We present the latest iteration of the voice conversion challenge (VCC) series, a bi-annual
scientific event aiming to compare and understand different voice conversion (VC) systems …

Singing voice conversion (SVC) is one promising technique that can enrich the way of
human-computer interaction by en-dowing a computer the ability to produce high-fidelity and …

This paper presents FastSVC, a light-weight cross-domain singing voice conversion (SVC)
system, which can achieve high conversion performance, with inference speed 4x faster …

Singing voice conversion (SVC) aims to convert the voice of one singer to that of other
singers while kee** the singing content and melody. On top of recent voice conversion …

Singing, the vocal productionof musical tones, is one of the most important elements of
music. Addressing the needs of real-world applications, the study of technologies related to …

This paper introduces the T23 team's system submitted to the Singing Voice Conversion
Challenge 2023. Following the recognition-synthesis framework, our singing conversion …

This paper presents the T02 team's system for the Singing Voice Conversion Challenge
2023 (SVCC2023). Our system entails a VITS-based SVC model, incorporating three …

Recently, phonetic posteriorgrams (PPGs) based methods have been quite popular in non-
parallel singing voice conversion systems. However, due to the lack of acoustic information …