Acoustic Event Detection in Multichannel Audio Using Gated Recurrent Neural Networks with High‐Resolution Spectral Features

Acoustic Event Detection in Multichannel Audio Using Gated Recurrent Neural Networks with High‐Resolution Spectral Features

Recently, deep recurrent neural networks have achieved great success in various machine learning tasks, and have also been applied for sound event detection. The detection of temporally overlapping sound events in realistic environments is much more challenging than in monophonic detection problems....

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Bibliographic Details
Main Authors:	Hyoung‐Gook Kim, Jin Young Kim
Format:	Article
Language:	English
Published:	Electronics and Telecommunications Research Institute (ETRI) 2017-12-01
Series:	ETRI Journal
Subjects:	Acoustic event detection Deep recurrent neural networks Gated recurrent neural network Multichannel audio
Online Access:	https://doi.org/10.4218/etrij.17.0117.0157

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