DocumentCode :
180002
Title :
A novel decorrelation approach for multichannel system identification
Author :
Romoli, Laura ; Cecchi, S. ; Piazza, Francesco
Author_Institution :
A3Lab., Univ. Politec. delle Marche, Ancona, Italy
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
6652
Lastpage :
6656
Abstract :
Multichannel sound reproduction systems aim at providing an optimal acoustical sensation to the listener by enhancing the listening experience and improving the spatial sound impression of the virtual scene. In this context, many audio applications requiring adaptive processing schemes have been developed in order to improve the performance of the audio reproduction. However, online multichannel systems identification requires the introduction of suitable solutions for overcoming the well-known non-uniqueness problem related to the correlation existing among the loudspeaker signals. This issue has been deeply investigated considering stereophonic systems but its extension to multichannel systems may not be so straightforward. In this paper, a novel solution for speech and audio signals is presented based on the “missing-fundamental” phenomenon. Experimental results proved the effectiveness of the approach also making comparisons with the existing state of the art.
Keywords :
audio signal processing; decorrelation; loudspeakers; speech processing; adaptive processing schemes; audio reproduction performance improvement; audio signals; listening experience enhancement; loudspeaker signals; missing-fundamental phenomenon; multichannel sound reproduction systems; nonuniqueness problem; novel decorrelation approach; online multichannel system identification; optimal acoustical sensation; spatial sound impression improvement; speech signals; stereophonic systems; virtual scene; Decorrelation; Echo cancellers; Loudspeakers; Speech; Speech processing; Channel decorrelation; missing-fundamental phenomenon; multichannel system identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854887
Filename :
6854887
Link To Document :
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