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Spectral Subtraction Using Reduced Delay Convolution and Adaptive Averaging
Responsible organisation
2001 (English)In: IEEE transactions on speech and audio processing, ISSN 1063-6676, E-ISSN 1558-2353, Vol. 9, no 8, 799-807 p.Article in journal (Refereed) PublishedAlternative title
Spectral subtraction som använder faltning med reduserad fördröjning och adaptiv medelvärdesbildning (Swedish)
Abstract [en]

In handsfree speech communication the signal to noise ratio is often poor, which makes it difficult to have a relaxed conversation. By using noise suppression, the conversation quality can be improved. This paper describes a noise suppression algorithm based on spectral subtraction. The method employs a noise and speech dependent gain function for each frequency component. Proper measures have been taken to obtain a corresponding causal filter and also to ensure that the circular convolution originating from FFT filtering yields a truly linear filtering. A novel method that uses spectrum-dependent adaptive averaging to decrease the variance of the gain function is also presented. The results show a 10-dB background noise reduction for all input SNR situations tested in the range -6 to 16 dB, as well as improvement in speech quality and reduction of noise artifacts as compared with conventional spectral subtraction methods.

Place, publisher, year, edition, pages
IEEE , 2001. Vol. 9, no 8, 799-807 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-9996ISI: 000172284600004Local ID: oai:bth.se:forskinfo58BA95BFD2BDB2EDC1256B510056DEB3OAI: oai:DiVA.org:bth-9996DiVA: diva2:838003
Available from: 2012-09-18 Created: 2002-01-30 Last updated: 2015-06-30Bibliographically approved

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Claesson, Ingvar
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  • apa
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