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

• Main Authors: Nguyen, Thi Ngoc Tho, Watcharasupat, Karn N., Nguyen, Ngoc Khanh, Jones, Douglas L., Gan, Woon-Seng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Deep Learning; Microphone Array; Feature Extraction; Sound Event Localization and Detection; Spatial Cues
• Online Access: https://hdl.handle.net/10356/157118
• Institution: Nanyang Technological University

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...