AIBullisharXiv – CS AI · Mar 126/10
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Speaker Verification with Speech-Aware LLMs: Evaluation and Augmentation
Researchers developed a protocol to evaluate speaker verification capabilities in speech-aware large language models, finding weak performance with error rates above 20%. They introduced ECAPA-LLM, a lightweight augmentation that achieves 1.03% error rate by integrating speaker embeddings while maintaining natural language interface.