Title
Exploiting Deep Neural Networks and Head Movements for Robust Binaural Localization of Multiple Sources in Reverberant Environments.
Abstract
This paper presents a novel machine-hearing system that exploits deep neural networks (DNNs) and head movements for robust binaural localization of multiple sources in reverberant environments. DNNs are used to learn the relationship between the source azimuth and binaural cues, consisting of the complete cross-correlation function (CCF) and interaural level differences (ILDs). In contrast to many...
Year
DOI
Venue
2017
10.1109/TASLP.2017.2750760
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Keywords
Field
DocType
Auditory system,Machine learning,Training,Reverberation,Speech processing,Neural networks
Speech processing,Reverberation,Pattern recognition,Computer science,Head movements,Azimuth,Auditory system,Speech recognition,Sound localization,Artificial intelligence,Binaural recording,Artificial neural network
Journal
Volume
Issue
ISSN
25
12
2329-9290
Citations 
PageRank 
References 
16
0.80
11
Authors
3
Name
Order
Citations
PageRank
Ning Ma122417.86
Tobias May2434.97
Guy J. Brown376097.54