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

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

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...

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Bibliographic Details
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: Journal 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

Internet

https://hdl.handle.net/10356/157118

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