162445 20251017144634.0 doi 10.1109/ICASSP39728.2021.9414859 sideral 129899 ART-2021-129899 eng Mingote, Victoria Universidad de Zaragoza (orcid)0000-0002-3505-0249 Memory Layers with Multi-Head Attention Mechanisms for Text-Dependent Speaker Verification 2021 Access copy available to the general public Unrestricted In this paper, we explore an approach based on memory layers and multi-head attention mechanisms to improve in an efficient way the performance of text-dependent speaker verification (SV) systems. The most extended SV systems based on Deep Neural Networks (DNN) extract the embedding of the utterance from the average pooling of the temporal dimension after processing. Unlike previous works, we can exploit the phonetic knowledge needed for text-dependent SV systems by combining the temporal attention of multiple parallel heads with the phonetic embeddings extracted from a phonetic classification network, which helps to guide to the attention mechanism with the role of the positional embedding. The addition of a memory layer to a text-dependent SV system was tested on the RSR2015-part II and DeepMine-part I databases, where, in both cases outperformed the baseline result and the reference system based on the same transformer network without the memory layer. info:eu-repo/grantAgreement/ES/DGA/T36-20R info:eu-repo/grantAgreement/ES/MINECO/TIN2017-85854-C4-1-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Miguel, Antonio Universidad de Zaragoza (orcid)0000-0001-5803-4316 Ortega, Alfonso Universidad de Zaragoza (orcid)0000-0002-3886-7748 Lleida, Eduardo Universidad de Zaragoza (orcid)0000-0001-9137-4013 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 2021 (2021), 6154-6158 Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing 0736-7791 241617 http://zaguan.unizar.es/record/162445/files/texto_completo.pdf Postprint 2968788 http://zaguan.unizar.es/record/162445/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:162445 articulos driver 2025-10-17-14:28:13 ARTICLE