The First Voice Timbre Attribute Detection Challenge
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911142815727616 |
|---|---|
| author | Chen, Liping He, Jinghao Sheng, Zhengyan Lee, Kong Aik Ling, Zhen-Hua |
| author_facet | Chen, Liping He, Jinghao Sheng, Zhengyan Lee, Kong Aik Ling, Zhen-Hua |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_06635 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The First Voice Timbre Attribute Detection Challenge Chen, Liping He, Jinghao Sheng, Zhengyan Lee, Kong Aik Ling, Zhen-Hua Sound Artificial Intelligence 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. |
| title | The First Voice Timbre Attribute Detection Challenge |
| topic | Sound Artificial Intelligence |
| url | https://arxiv.org/abs/2509.06635 |