Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866916215190978560 |
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| author | Hossein, Zeinali Aik, Lee Kong Jahangir, Alam Lukas, Burget |
| author_facet | Hossein, Zeinali Aik, Lee Kong Jahangir, Alam Lukas, Burget |
| contents | This document outlines the Text-dependent Speaker Verification (TdSV) Challenge 2024, which centers on analyzing and exploring novel approaches for text-dependent speaker verification. The primary goal of this challenge is to motive participants to develop single yet competitive systems, conduct thorough analyses, and explore innovative concepts such as multi-task learning, self-supervised learning, few-shot learning, and others, for text-dependent speaker verification. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_13428 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan Hossein, Zeinali Aik, Lee Kong Jahangir, Alam Lukas, Burget Sound Artificial Intelligence Audio and Speech Processing This document outlines the Text-dependent Speaker Verification (TdSV) Challenge 2024, which centers on analyzing and exploring novel approaches for text-dependent speaker verification. The primary goal of this challenge is to motive participants to develop single yet competitive systems, conduct thorough analyses, and explore innovative concepts such as multi-task learning, self-supervised learning, few-shot learning, and others, for text-dependent speaker verification. |
| title | Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan |
| topic | Sound Artificial Intelligence Audio and Speech Processing |
| url | https://arxiv.org/abs/2404.13428 |