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Speech separation by kurtosis maximization
New Mexico State University.
1998 (English)In: Proceedings of the 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing: May, 12 - 15, 1998, Washington State Convention and Trade Center, Seattle, Washington, USA, Piscataway, NJ: IEEE Communications Society, 1998, 1029-1032 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a computationally efficient method of separating mixed speech signals. The method uses a recursive adaptive gradient descent technique with the cost function designed to maximize the kurtosis of the output (separated) signals. The choice of kurtosis maximization as an objective function (which acts as a measure of separation) is supported by experiments with a number of speech signals as well as spherically invariant random processes (SIRPs) which are regarded as excellent statistical models for speech. Development and analysis of the adaptive algorithm is presented. Simulation examples using actual voice signals are presented

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 1998. 1029-1032 p.
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-35268DOI: 10.1109/ICASSP.1998.675443Local ID: 9bace680-9e7a-11db-8975-000ea68e967bISBN: 0-7803-4428-6 (print)OAI: oai:DiVA.org:ltu-35268DiVA: diva2:1008520
Conference
IEEE International Conference on Acoustics, Speech, and Signal Processing : 12/05/1998 - 15/05/1998
Note
Upprättat; 1998; 20070107 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-10-19Bibliographically approved

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Leblanc, James
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf