mlsanityData to 14 Oct 2026

The Voice Timbre Attribute Detection 2025 Challenge Evaluation Plan

arXiv 2505.09382 ↗First posted 14 May 2025cs.SD cs.AI eess.AScited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 9 of its 10 references that are in the map. First posted on arXiv 14 May 2025.

Builds on

9 of 10 references.

References · 9

  1. 2018VoxCeleb2: Deep Speaker Recognitioncited by 875
  2. 2017VoxCeleb: a large-scale speaker identification datasetcited by 732
  3. 2020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verificationcited by 628
  4. 2019Libri-Light: A Benchmark for ASR with Limited or No Supervisioncited by 467
  5. 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Modelscited by 226
  6. 2022PromptTTS: Controllable Text-to-Speech with Text Descriptionscited by 110
  7. 2024Explainable Attribute-Based Speaker Verificationcited by 11
  8. 2024Voice Attribute Editing with Text Promptcited by 9
  9. 2025Unispeaker: A Unified Approach for Multimodality-driven Speaker Generationcited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2026Investigation for Relative Voice Impression Estimationcited by 1
  2. 2025The First Voice Timbre Attribute Detection Challengecited by 0