Title
Adaptive Beamforming And Soft Missing Data Decoding For Robust Speech Recognition In Reverberant Environments
Abstract
This paper presents a novel approach to combine microphone array processing and robust speech recognition for reverberant multi-speaker environments. Spatial cues are extracted from a microphone array and automatically clustered to estimate localization masks in the time-frequency domain. The localization masks are then used to blindly design adaptive filters in order to enhance the source signals prior to missing data speech recognition. A novel evidence model better exploiting the information provided by the source separation stage is proposed. Recognition experiments demonstrate the effectiveness of the scheme when compared to traditional microphone array enhancement and a related binaural separation model.
Year
Venue
Keywords
2008
INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5
missing data speech recognition, microphone array processing, adaptive beamforming
Field
DocType
Citations 
Fuzzy clustering,Adaptive beamformer,Pattern recognition,Computer science,Direction of arrival,Speech recognition,Microphone array,Artificial intelligence,Missing data,Cluster analysis,Source separation,Microphone
Conference
2
PageRank 
References 
Authors
0.45
6
3
Name
Order
Citations
PageRank
Marco Kuhne1202.21
Roberto Togneri281448.33
Sven Nordholm340562.82