NDLI: Method for temporal interpolation of short-term spectra and its application to adaptive system identification

Content Provider	IEEE Xplore Digital Library
Author	Krini, M. Schmidt, G.
Copyright Year	2012
Description	Author affiliation: Nuance Communications Aachen GmbH, Acoustic Speech Enhancement Research, Söflinger Str. 100, Ulm, Germany (Krini, M.) \|\| Christian-Albrechts-Universität zu Kiel, Digital Signal Processing and System Theory, Kaiserstr. 2, Germany (Schmidt, G.)
Abstract	In this paper an extension of analysis filterbanks utilized in adaptive system identification schemes is presented. The extension operates as a postprocessing stage following conventional polyphase filterbanks or short-term Fourier transforms. The idea of the new method is to exploit the redundancy of succeeding short-term spectra for computing interpolated temporal supporting points. For its efficient implementation some approximations are performed - it can be shown that the postprocessing stage can be easily realized based on the weighted sum of subband signals. The new method allows for significant increase of the frameshift (subsampling rate), leading to a reduction of the computational complexity while keeping the convergence speed and the steady-state performance. Alternatively, the frameshift can be kept unchanged - in this case an improved steady-state convergence can be achieved. Real-time measurements performed with systems for acoustic echo cancellation have shown that significant improvements in terms of echo reduction can be achieved while increasing the amount of required memory only marginally.
Starting Page	45
Ending Page	48
File Size	285809
Page Count	4
File Format	PDF
ISBN	9781467300452
ISSN	15206149
e-ISBN	9781467300469
e-ISBN	9781467300445
DOI	10.1109/ICASSP.2012.6287813
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Echo cancellers Time frequency analysis Convergence Computational complexity Steady-state Speech aliasing Adaptive filters echo cancellation system identification filterbanks
Content Type	Text
Resource Type	Article

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