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Speech enhancement using adaptive time-domain segmentation
KTH, Superseded Departments, Signals, Sensors and Systems.
KTH, Superseded Departments, Signals, Sensors and Systems.
2004 (English)In: 8th International Conference on Spoken Language Processing, ICSLP 2004, International Speech Communication Association, 2004, p. 869-872Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we investigate the benefits of using an adaptive segmentation of the speech signal in speech enhancement. The adaptive segmentation scheme divides the signal into the longest segments within which stationarity is preserved, thus providing a good time-frequency resolution. The segmentation is performed with the help of an orthogonal library of local cosine bases using a computationally efficient tree-structured best-basis search. We show that such an adaptive segmentation results in improved speech enhancement compared to a fixed segmentation. The resulting enhanced speech is free from musical noise, without any additional smoothing.

Place, publisher, year, edition, pages
International Speech Communication Association, 2004. p. 869-872
Keywords [en]
Speech enhancement, Speech recognition, Adaptive segmentation, Computationally efficient, Local cosine basis, Longest segments, Musical noise, Speech signals, Time-frequency resolution, Tree-structured
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-202069Scopus ID: 2-s2.0-85009100463OAI: oai:DiVA.org:kth-202069DiVA, id: diva2:1076138
Conference
8th International Conference on Spoken Language Processing, ICSLP 2004, International Convention CenterJeju, Jeju Island, South Korea, 4 October 2004 through 8 October 2004
Note

QC 20170222

Available from: 2017-02-22 Created: 2017-02-22 Last updated: 2017-02-22Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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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