Paper Info
Title
Audio signal classification in reverberant environments based on fuzzy-clustered ad-hoc microphone arrays
Abstract
Audio signal classification suffers from the mismatch of environmental conditions when training data is based on clean and anechoic signals and test data is distorted by reverberation and signals from other sources. In this contribution we analyze the classification performance for such a scenario with two concurrently active sources in a simulated reverberant environment. To obtain robust classification results, we exploit the spatial distribution of ad-hoc microphone arrays to capture the signals and extract cepstral features. Based on these features only, we use unsupervised fuzzy clustering to estimate clusters of microphones which are dominated by one of the sources. Finally, signal classification based on clean and anechoic training data is performed for each of the cluster. The probability of cluster membership for each microphone is provided by the fuzzy clustering algorithm and is used to compute a weighted average of the feature vectors. It is shown that the proposed method exceeds the performance of classification based on single microphones.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638347
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
fuzzy set theory,microphone arrays,reverberation chambers,signal classification,unsupervised learning,ad-hoc microphone arrays,anechoic signals,anechoic training data,audio signal classification,cepstral features extraction,fuzzy-clustered ad-hoc microphone arrays,microphones clusters,reverberant environments,unsupervised fuzzy clustering,Ad-hoc Microphone Array,Cepstral Features,Classification,Clustering,LP-CMRARE,MFCC
Fuzzy clustering,Feature vector,Reverberation,Pattern recognition,Computer science,Fuzzy logic,Speech recognition,Fuzzy set,Unsupervised learning,Artificial intelligence,Test data,Microphone
Conference
ISSN
Citations 
PageRank 
1520-6149
4
0.44
References 
Authors
7
3
Name
Order
Citations
PageRank
Sebastian Gergen1103.61
Anil M. Nagathil2315.03
Rainer Martin3102991.14