The article by Vladimir Fedoseev, Anton Konev, and Alexey Yakimuk from Tomsk State University of Control Systems and Radioelectronics explores the parameters of vowel sounds in Russian and English languages….
Continue readingThe article explores the role of deep neural networks (DNNs) in automatic speaker recognition, particularly in modeling supra-segmental temporal information (SST). Despite their success, the understanding of what contributes to…
Continue readingThe study presents a novel test to measure how much the performance of neural networks in speaker recognition can be attributed to the modeling of supra-segmental temporal features (SST). It…
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