The Voice Timbre Attribute Detection 2025 Challenge Evaluation Plan
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866918067221561344 |
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| author | Sheng, Zhengyan He, Jinghao Chen, Liping Lee, Kong Aik Ling, Zhen-Hua |
| author_facet | Sheng, Zhengyan He, Jinghao Chen, Liping Lee, Kong Aik Ling, Zhen-Hua |
| contents | Voice timbre refers to the unique quality or character of a person's voice that distinguishes it from others as perceived by human hearing. The Voice Timbre Attribute Detection (VtaD) 2025 challenge focuses on explaining the voice timbre attribute in a comparative manner. In this challenge, the human impression of voice timbre is verbalized with a set of sensory descriptors, including bright, coarse, soft, magnetic, and so on. The timbre is explained from the comparison between two voices in their intensity within a specific descriptor dimension. The VtaD 2025 challenge starts in May and culminates in a special proposal at the NCMMSC2025 conference in October 2025 in Zhenjiang, China. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_09382 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Voice Timbre Attribute Detection 2025 Challenge Evaluation Plan Sheng, Zhengyan He, Jinghao Chen, Liping Lee, Kong Aik Ling, Zhen-Hua Sound Artificial Intelligence Audio and Speech Processing Voice timbre refers to the unique quality or character of a person's voice that distinguishes it from others as perceived by human hearing. The Voice Timbre Attribute Detection (VtaD) 2025 challenge focuses on explaining the voice timbre attribute in a comparative manner. In this challenge, the human impression of voice timbre is verbalized with a set of sensory descriptors, including bright, coarse, soft, magnetic, and so on. The timbre is explained from the comparison between two voices in their intensity within a specific descriptor dimension. The VtaD 2025 challenge starts in May and culminates in a special proposal at the NCMMSC2025 conference in October 2025 in Zhenjiang, China. |
| title | The Voice Timbre Attribute Detection 2025 Challenge Evaluation Plan |
| topic | Sound Artificial Intelligence Audio and Speech Processing |
| url | https://arxiv.org/abs/2505.09382 |