Text-dependent Speaker Verification Challenge 2024: Exploring Shared and User-defined Passphrases

In contrast to text-independent speaker verification, which has received significant attention from researchers and has many competitions dedicated to it, text-dependent speaker verification (TdSV) has been less explored recently. The TdSV Challenge 2024 was organized to analyze and explore novel methods for this type of speaker verification and aims to motivate participants to develop new approaches to TdSV, conduct comprehensive analyses, and investigate advanced techniques such as self-supervised learning. This challenge builds on the achievements of the short-duration speaker verification (SdSV) Challenges held in 2020 and 2021 and focuses specifically on TdSV in two distinct scenarios. The first scenario involves conventional TdSV, while the second focuses on speaker enrollment using user-defined passphrases. This paper provides a detailed description of both tasks, introduces the evaluation rules, and presents a comprehensive analysis of the results obtained from this challenge.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10888478
Citations
1
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
2.48
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article

Text-dependent Speaker Verification Challenge 2024: Exploring Shared and User-defined Passphrases

Kong Aik Lee, Lukáš Burget, Hossein Zeinali, Jahangir Alam
1 citations
Speech Recognition and Synthesis
2.48
article

Text-dependent Speaker Verification Challenge 2024: Exploring Shared and User-defined Passphrases

Kong Aik Lee, Lukáš Burget, Hossein Zeinali, Jahangir Alam
article en
1 citations

Abstract

In contrast to text-independent speaker verification, which has received significant attention from researchers and has many competitions dedicated to it, text-dependent speaker verification (TdSV) has been less explored recently. The TdSV Challenge 2024 was organized to analyze and explore novel methods for this type of speaker verification and aims to motivate participants to develop new approaches to TdSV, conduct comprehensive analyses, and investigate advanced techniques such as self-supervised learning. This challenge builds on the achievements of the short-duration speaker verification (SdSV) Challenges held in 2020 and 2021 and focuses specifically on TdSV in two distinct scenarios. The first scenario involves conventional TdSV, while the second focuses on speaker enrollment using user-defined passphrases. This paper provides a detailed description of both tasks, introduces the evaluation rules, and presents a comprehensive analysis of the results obtained from this challenge.

Hong Kong Polytechnic University (HK), Amirkabir University of Technology (IR), Computer Research Institute of Montréal (CA), Brno University of Technology (CZ)
Openalex Percentile: Top 11%
Speech Recognition and Synthesis
2.48
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