Learning discriminative representations from integrated features for DOA estimation

As a fundamental step in array signal processing, accurate direction-of-arrival (DOA) estimation is crucial for speaker localization using microphone arrays. Noise, reverberation, and an unknown number of sources in realistic environments pose significant challenges, making the extraction of discrim...

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Veröffentlicht in:	Journal of King Saud University. Computer and information sciences Jg. 37; H. 10; S. 323 - 20
Hauptverfasser:	You, Qi, Huang, Qinghua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.12.2025 Springer Nature B.V Springer
Schlagworte:	Accuracy Arrays Classification Computer Imaging Computer Science Database Management Deep learning Design Direction of arrival Direction-of-arrival estimation Discriminative learning End-to-end Fourier transforms Learning Localization Machine Learning Modelling Original Paper Pattern Recognition and Graphics Representations Signal processing Software Engineering/Programming and Operating Systems Spatial data Speaker localization Systems and Data Security Theory of Computation Vision Signal processing Direction-of-arrival estimation Discriminative learning End-to-end Speaker localization
ISSN:	1319-1578, 2213-1248, 1319-1578
Online-Zugang:	Volltext
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