Title
Robust Speech Dereverberation With a Neural Network-Based Post-Filter That Exploits Multi-Conditional Training of Binaural Cues.
Abstract
This study presents an algorithm for binaural speech dereverberation based on the supervised learning of short-term binaural cues. The proposed system combined a delay-and-sum beamformer with a neural network-based post-filter that attenuated reverberant components in individual time-frequency units. A multi-conditional training procedure was used to simulate the uncertainties of short-term binaur...
Year
DOI
Venue
2018
10.1109/TASLP.2017.2765819
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Keywords
Field
DocType
Speech,Ear,Neural networks,Speech processing,Reverberation,Training,Integrated circuits
Speech processing,Reverberation,Pattern recognition,Computer science,Speech recognition,Supervised learning,Impulse (physics),Anechoic chamber,Artificial intelligence,Binaural recording,Artificial neural network,Intelligibility (communication)
Journal
Volume
Issue
ISSN
26
2
2329-9290
Citations 
PageRank 
References 
1
0.35
21
Authors
1
Name
Order
Citations
PageRank
Tobias May1434.97