Voice conversion (VC) refers to the digital cloning of a person's voice; it can be used to modify audio waveform so that it appear as if spoken by someone else (target) than the original speaker (source). The voice conversion challenge (VCC) series aims to advance and compare different methods to approach the core VC technology using a common dataset, metrics and baseline systems provided by the organizers. Rather than focusing on developing the best performing system, the core motivation of the VCC series has always been to provide researchers with information about which methods are currently state-of-the-art, through reproducible systems and experiments.
The latest VCC advanced the application to singing voices with the singing voice conversion challenge (SVCC), where the top systems showed an impressive performance in naturalness. However, similarity scores were not as high as expected, due to the fact that singing voices are much complex to evaluate due to different singing styles that can be sung by the same singer.
With this motivation in mind, we are pleased to announce SVCC 2025 and aim to further advance the state-of-the-art in this research field. This year, we focus on singing style conversion (SSC). Compared to singing voice conversion (SVC) which only converts singer identity, SSC focuses on converting the how the singer sings the song and changes the singing style, without changing the linguistic contents and identity of the source singer. SSC is more challenging than VC and SVC, as there are various ways to sing a song in different styles, but still need to follow music theory such that the converted singing voice is still pleasant to listen to. From the research community point of view, SSC is the intersection of speech processing and music processing. SSC is a new, novel, and challenging research field, and we hope to attract attention from researchers in both communities to facilitate interdisciplinary research.
Registration is free. To participate, please complete the registration form:
We will only send the training data and instructions to the registered participants.
Please make sure to read the challenge rules before participating.
Task | Source | Reference | Conversion |
---|---|---|---|
Task 1 | Singer A, in style 1 | Singer A, in style 2 | Singer A, in style 2 |
Task 2 | Singer B, in style 1 | Any singer except B, in style 2 | Singer B, in style 2 |
To facilitate the challenge, we will be providing participants with two baseline systems with completely open-sourced codes:
Baseline 1: Serenade [Paper] [Open-sourced code]
Baseline 2: Vevo 1.5 [Original paper] [Technical Blog] [Open-sourced code]
Apr. 7th, 2025: Challenge tasks and description released
Apr. 14th, 2025: Baseline 2 code and technical paper for SVCC released
Apr. 28th, 2025: Training data release
Jun. 23rd, 2025: Evaluation data release
Jun. 30th, 2025: Converted waveforms submission deadline
Jul. 14th, 2025: System description submission deadline
Aug. 25th, 2025: Results notification
To be confirmed: Conference workshop paper submission deadline
Lester Phillip Violeta, Wen-Chin Huang, and Tomoki Toda (Nagoya University, Japan)
Xueyao Zhang, Zhizheng Wu (The Chinese University of Hong Kong (Shenzhen), China)
Jiatong Shi (Carnegie Mellon University, USA)
Yusuke Yasuda (National Institute of Informatics, Japan)
SVCC 2023: Challenge website
VCC 2020: Challenge website
VCC 2018: Challenge website
VCC 2016: Challenge website
svcc2025__at__vc-challenge.org