The First Voice Timbre Attribute Detection Challenge
Sound
2025-09-09 v1 Artificial Intelligence
Abstract
The first voice timbre attribute detection challenge is featured in a special session at NCMMSC 2025. It focuses on the explainability of voice timbre and compares the intensity of two speech utterances in a specified timbre descriptor dimension. The evaluation was conducted on the VCTK-RVA dataset. Participants developed their systems and submitted their outputs to the organizer, who evaluated the performance and sent feedback to them. Six teams submitted their outputs, with five providing descriptions of their methodologies.
Cite
@article{arxiv.2509.06635,
title = {The First Voice Timbre Attribute Detection Challenge},
author = {Liping Chen and Jinghao He and Zhengyan Sheng and Kong Aik Lee and Zhen-Hua Ling},
journal= {arXiv preprint arXiv:2509.06635},
year = {2025}
}