Domain-weighted transfer learning and discriminative embeddings for low-resource speaker verification

Domain-weighted transfer learning and discriminative embeddings for low-resource speaker verification

Abstract Transfer learning has been shown to be effective in enhancing speaker verification performance in low-resource conditions. However, the inclusion of additional datasets may cause domain mismatch. Additionally, mismatched data volume and model complexity during fine-tuning can degrade speake...

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Bibliographic Details
Main Authors: Han Wang, Mingrui He, Mingjun Zhang, Changzhi Luo, Longting Xu
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Subjects:
Speaker verification
Transfer learning
Canonical correlation analysis
Domain mismatch
Online Access:https://doi.org/10.1186/s13636-024-00385-z
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https://doi.org/10.1186/s13636-024-00385-z

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