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eess.AS2024★ 1 cited
Memory-Efficient Training for Deep Speaker Embedding Learning in Speaker Verification
Bei Liu, Yanmin Qian
Recent speaker verification (SV) systems have shown a trend toward adopting deeper speaker embedding extractors. Although deeper and larger neural networks can significantly improv…
eess.AS2024★ 8 cited
Towards Lightweight Speaker Verification via Adaptive Neural Network Quantization
Bei Liu, Haoyu Wang, Yanmin Qian
Modern speaker verification (SV) systems typically demand expensive storage and computing resources, thereby hindering their deployment on mobile devices. In this paper, we explore…