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