Model-based analysis of noisy musical recordings with application to audio restoration

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Esquef, Paulo A. A.
dc.date.accessioned 2012-02-13T12:39:09Z
dc.date.available 2012-02-13T12:39:09Z
dc.date.issued 2004-04-02
dc.identifier.isbn 951-22-6950-3
dc.identifier.issn 1456-6303
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/2394
dc.description.abstract This thesis proposes digital signal processing algorithms for noise reduction and enhancement of audio signals. Approximately half of the work concerns signal modeling techniques for suppression of localized disturbances in audio signals, such as impulsive noise and low-frequency pulses. In this regard, novel algorithms and modifications to previous propositions are introduced with the aim of achieving a better balance between computational complexity and qualitative performance, in comparison with other schemes presented in the literature. The main contributions related to this set of articles are: an efficient algorithm for suppression of low-frequency pulses in audio signals; a scheme for impulsive noise detection that uses frequency-warped linear prediction; and two methods for reconstruction of audio signals within long gaps of missing samples. The remaining part of the work discusses applications of sound source modeling (SSM) techniques to audio restoration. It comprises application examples, such as a method for bandwidth extension of guitar tones, and discusses the challenge of model calibration based on noisy recorded sources. Regarding this matter, a frequency-selective spectral analysis technique called frequency-zooming ARMA (FZ-ARMA) modeling is proposed as an effective way to estimate the frequency and decay time of resonance modes associated with the partials of a given tone, despite the presence of corrupting noise in the observable signal. en
dc.format.extent 40, [83]
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Helsinki University of Technology en
dc.publisher Teknillinen korkeakoulu fi
dc.relation.ispartofseries Report / Helsinki University of Technology Laboratory of Acoustics and Audio Signal Processing en
dc.relation.ispartofseries Raportti / Teknillinen korkeakoulu, akustiikan ja äänenkäsittelytekniikan laboratorio fi
dc.relation.ispartofseries 73 en
dc.relation.haspart Esquef P. A. A., Biscainho L. W. P. and Välimäki V., 2003. An efficient algorithm for the restoration of audio signals corrupted with low-frequency pulses. Journal of the Audio Engineering Society 51, number 6, pages 502-517.
dc.relation.haspart Esquef P. A. A., Karjalainen M. and Välimäki V., 2002. Detection of clicks in audio signals using warped linear prediction. In: Proceedings of the 14th International Conference on Digital Signal Processing (DSP2002). Santorini, Greece, 1-3 July 2002, volume 2, pages 1085-1088. [article2.pdf] © 2002 IEEE. By permission.
dc.relation.haspart Esquef P. A. A., Välimäki V., Roth K. and Kauppinen I., 2003. Interpolation of long gaps in audio signals using the warped Burg's method. In: Proceedings of the 6th International Conference on Digital Audio Effects (DAFx-03). London, UK, 8-11 September 2003, pages 18-23. [article3.pdf] © 2003 by authors.
dc.relation.haspart Esquef P. A. A., 2004. Interpolation of long gaps in audio signals using line spectrum pair polynomials. Helsinki University of Technology, Laboratory of Acoustics and Audio Signal Processing, Report 72. IEEE Transactions on Speech and Audio Processing, submitted for publication. [article4.pdf] © 2004 by author and © 2003 IEEE.
dc.relation.haspart Esquef P. A. A., Välimäki V. and Karjalainen M., 2002. Restoration and enhancement of solo guitar recordings based on sound source modeling. Journal of the Audio Engineering Society 50, number 4, pages 227-236.
dc.relation.haspart Karjalainen M., Esquef P. A. A., Antsalo P., Mäkivirta A. and Välimäki V., 2002. Frequency-zooming ARMA modeling of resonant and reverberant systems. Journal of the Audio Engineering Society 50, number 12, pages 1012-1029.
dc.relation.haspart Esquef P. A. A., Karjalainen M. and Välimäki V., 2003. Frequency-zooming ARMA modeling for analysis of noisy string instrument tones. EURASIP Journal on Applied Signal Processing: Special Issue on Digital Audio for Multimedia Communications 2003, number 10, pages 953-967.
dc.subject.other Electrical engineering en
dc.title Model-based analysis of noisy musical recordings with application to audio restoration en
dc.type G5 Artikkeliväitöskirja fi
dc.description.version reviewed en
dc.contributor.department Department of Electrical and Communications Engineering en
dc.contributor.department Sähkö- ja tietoliikennetekniikan osasto fi
dc.subject.keyword acoustic signal processing en
dc.subject.keyword computer music en
dc.subject.keyword audio restoration en
dc.subject.keyword spectral analysis en
dc.identifier.urn urn:nbn:fi:tkk-003396
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.type.ontasot Doctoral dissertation (article-based) en
dc.contributor.lab Laboratory of Acoustics and Audio Signal Processing en
dc.contributor.lab Akustiikan ja äänenkäsittelytekniikan laboratorio fi


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