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The sensitivity matrix: Using advanced auditory models in speech and audio processing
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2007 (English)In: Ieee Transactions on Audio Speech and Language Processing, ISSN 1558-7916, Vol. 15, no 1, 310-319 p.Article in journal (Refereed) Published
Abstract [en]

Perceptually optimal processing of speech and audio signals demands a rigorous approach using a distortion measure that resembles human perception. This requires distortion measures based on sophisticated, complex auditory models. Under the assumption of small distortions these models can be simplified by means of a sensitivity matrix. In this paper, we show the power of this approach. We present a method to derive the sensitivity matrix for distortion measures based on spectro-temporal auditory models. This method is applied to an example auditory model and the region of validity of the approximation and the application of linear algebra to analyze the characteristics of the given model are discussed. Furthermore, we show how to build a coder minimizing a sensitivity matrix distortion measure given the typically long support of a perceptual distortion measure.

Place, publisher, year, edition, pages
2007. Vol. 15, no 1, 310-319 p.
Keyword [en]
auditory model, distortion, perception, quantization, sensitivity, speech and audio coding, difference distortion measures, asymptotic performance, amplitude-modulation, quantitative model, masking, signals, quantization, quantizers, transform, patterns
Identifiers
URN: urn:nbn:se:kth:diva-16309DOI: 10.1109/tasl.2006.876722ISI: 000243286900025Scopus ID: 2-s2.0-47649083103OAI: oai:DiVA.org:kth-16309DiVA: diva2:334351
Note
QC 20100525Available from: 2010-08-05 Created: 2010-08-05Bibliographically approved

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  • apa
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  • Other locale
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  • asciidoc
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