The SVASR System for Text-dependent Speaker Verification (TdSV) AAIC Challenge 2024
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910713208897536 |
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| author | Molavi, Mohammadreza Khodadadi, Reza |
| author_facet | Molavi, Mohammadreza Khodadadi, Reza |
| contents | This paper introduces an efficient and accurate pipeline for text-dependent speaker verification (TDSV), designed to address the need for high-performance biometric systems. The proposed system incorporates a Fast-Conformer-based ASR module to validate speech content, filtering out Target-Wrong (TW) and Impostor-Wrong (IW) trials. For speaker verification, we propose a feature fusion approach that combines speaker embeddings extracted from wav2vec-BERT and ReDimNet models to create a unified speaker representation. This system achieves competitive results on the TDSV 2024 Challenge test set, with a normalized min-DCF of 0.0452 (rank 2), highlighting its effectiveness in balancing accuracy and robustness. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_16276 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The SVASR System for Text-dependent Speaker Verification (TdSV) AAIC Challenge 2024 Molavi, Mohammadreza Khodadadi, Reza Sound Artificial Intelligence Audio and Speech Processing This paper introduces an efficient and accurate pipeline for text-dependent speaker verification (TDSV), designed to address the need for high-performance biometric systems. The proposed system incorporates a Fast-Conformer-based ASR module to validate speech content, filtering out Target-Wrong (TW) and Impostor-Wrong (IW) trials. For speaker verification, we propose a feature fusion approach that combines speaker embeddings extracted from wav2vec-BERT and ReDimNet models to create a unified speaker representation. This system achieves competitive results on the TDSV 2024 Challenge test set, with a normalized min-DCF of 0.0452 (rank 2), highlighting its effectiveness in balancing accuracy and robustness. |
| title | The SVASR System for Text-dependent Speaker Verification (TdSV) AAIC Challenge 2024 |
| topic | Sound Artificial Intelligence Audio and Speech Processing |
| url | https://arxiv.org/abs/2411.16276 |