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The Voice Timbre Attribute Detection 2025 Challenge Evaluation Plan

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arxiv 2505.09382 v2 pith:PWJHWYST submitted 2025-05-14 cs.SD cs.AIeess.AS

Zhengyan Sheng , Jinghao He , Liping Chen , Kong Aik Lee , Zhen-Hua Ling This is my paper · ORCID
classification cs.SDcs.AIeess.AS
keywords timbrevoicechallengeattributedetectionhumanvtadbright
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

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  1. Semantic-Aware Ship Detection with Vision-Language Integration

    cs.CV 2025-08 unverdicted novelty 4.0 of 10

    Abstract claims a VLM-plus-adaptive-window framework and a new semantic ship dataset, but the manuscript body is a different voice-timbre paper.

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