CHAWA: Overcoming Phase Anomalies in Sound Localization

Sound Source Localization (SSL) is a key task in audio signal processing, focusing on estimating the position of sound sources relative to a reference point, typically a microphone array. In this paper, we introduce a novel dataset named SoS, specifically designed for indoor SSL scenarios, containin...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.148653-148665
Hauptverfasser:	Nguyen-Vu, Long, Lee, Jonghoon
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models adaptive pooling augmentation Convolutional neural networks Digital signal processing Direction-of-arrival estimation Heuristic algorithms huber loss Location awareness Machine listening Signal processing algorithms sound source localization Synchronization TDoA time masking Training Universal Serial Bus Vectors
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