Kalman Filtering for Low Distortion Speech Enhancement in Mobile Communications 1997 (English)In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-97., IEEE , 1997, p. 1219-1222Conference paper, Published paper (Refereed)

Abstract [en]

This paper presents a model-based approach for noise suppression of speech contaminated by additive noise. AKalman filter based speech enhancement system is presented and its performance is investigated in detail. It is shown that with a novel speech parameter estimation algorithm, it is possible to achieve 10 dB noise suppression with a high total audible quality.

Place, publisher, year, edition, pages

IEEE , 1997. p. 1219-1222

Keywords [en]

Acoustic noise, Background noise, Colored noise, Filtering, Kalman filters, Mobile communication, Parameter estimation, Signal processing, Speech enhancement, Speech processing

National Category

Signal Processing

Identifiers

URN: urn:nbn:se:kth:diva-92583DOI: 10.1109/ICASSP.1997.596164OAI: oai:DiVA.org:kth-92583DiVA, id: diva2:513844

Conference

IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-97, 21-24 Apr 1997, Munich, Germany

Note

NR 20140805Available from: 2012-04-03 Created: 2012-04-03 Last updated: 2022-06-24Bibliographically approved

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Händel, PeterOttersten, Björn

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Signals, Sensors and Systems

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