SALSA: spatial cue-augmented log-spectrogram features for polyphonic sound event localization and detection

• المؤلفون الرئيسيون: Nguyen, Thi Ngoc Tho, Watcharasupat, Karn N., Nguyen, Ngoc Khanh, Jones, Douglas L., Gan, Woon-Seng
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Deep Learning; Microphone Array; Feature Extraction; Sound Event Localization and Detection; Spatial Cues
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/157118

Sound event localization and detection (SELD) consists of two subtasks, which are sound event detection and direction-of-arrival estimation. While sound event detection mainly relies on time-frequency patterns to distinguish different sound classes, direction-of-arrival estimation uses amplitude and...