The Voice Timbre Attribute Detection 2025 Challenge Evaluation Plan
This addresses the challenge of detecting and comparing voice timbre attributes for applications in audio processing and human-computer interaction, but it appears incremental as it builds on existing challenge frameworks.
The paper tackles the problem of explaining voice timbre attributes by verbalizing human impressions with sensory descriptors and comparing voice intensities in specific dimensions, as part of the VtaD 2025 challenge culminating in a conference proposal.
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.