Enhancing Speaker Verification with Whispered Speech via Post-Processing
Speaker verification is a task of confirming an individual's identity through the analysis of their voice. Whispered speech differs from phonated speech in acoustic characteristics, which degrades the performance of speaker verification systems in real-life scenarios, including avoiding fully phonated speech to protect privacy, disrupt others, or when the lack of full vocalization is dictated by a disease. In this paper we propose a model with a training recipe to obtain more robust representations against whispered speech hindrances. The proposed system employs an encoder--decoder structure built atop a fine-tuned speaker verification backbone, optimized jointly using cosine similarity--...
| Authors | Magdalena Gołębiowska, Piotr Syga |
|---|---|
| Primary category | cs.SD |
| Published | 22 April 2026 |
| Last updated at source | 6 May 2026 |
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