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Spectral subtraction using correct convolution and a spectrum dependent exponential averaging method.
Responsible organisation
1998 (English)Report (Other academic)Alternative title
Spektral subtraktion med korrekt faltning samt en spektrum beroende exponentiell medelvärdesbildningsmetod. (Swedish)
Abstract [en]

In handsfree speech communication the signal to noise ratio is poor which makes it difficult for the listener to have a relaxed conversation. By using speech enhancement processing, the quality of conversation will be enhanced. This paper describes a speech enhancement algorithm based on spectral subtraction. The method employs a noise and speech dependent gain function which is used to design a filter. The proper measures have been taken to obtain a causal filter and also to ensure that the circular convolution yields a linear filtering. A novel method that uses spectrum-dependent exponential averaging to decrease the variance of the gain function is also presented. The result obtained is a 13 to 18 dB noise reduction, with minor speech distortion and moderate residual noise distortion.

Abstract [sv]

Vid handsfree röstkommunikation i bullriga miljöer är det svårt att ha en avslappnad konversation. För att förbättra kommunikations möjligheterna kan man applicera brusredusering på mikrofonsignalen. Denna forskningsrapport beskriver en brusreduseringsmetod som använder en vidareutvecklad Spektral subtraktionsmetod. Vidare utvecklingen består av att filtrering görs med korrekt faltning samt en spektrum beroende exponentiell medelvärdesbildningsmetod.

Place, publisher, year, edition, pages
Blekinge Tekniska Högskola Forskningsrapport, ISSN 1103-1581 ; 15
Keyword [en]
speech enhancement, noise reduction, spectral subtraction
National Category
Signal Processing
URN: urn:nbn:se:bth-00123Local ID: diva2:837144
Available from: 2012-09-18 Created: 2000-03-15 Last updated: 2015-06-30Bibliographically approved

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Claesson, Ingvar
Signal Processing

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