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Multichannel Wiener Filtering for Speech Enhancement in Modulation Domain
Blekinge Institute of Technology, School of Engineering.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

Normally speech signals are contaminated with noise and interference that reduces the intelligibility of speech during communication. In order to make speech signals e ective and useful, they need to be enhanced from the noisy speech signal. In speech processing eld many speech enhancement techniques are developed and are providing very good results. Multichannel microphone array is also one of the techniques used for speech enhancement, that provides better results than the single channel speech enhancement. Moreover, Wiener filtering is the most commonly used technique for multichannel microphone array for speech enhancement. The main focus of this thesis is to implement multichannel microphone array using Wiener filtering in the modulation domain system and also in the time domain system to enhance the speech. Both are implemented successfully and validated e ectively by considering diff erent parameters, i,e; Signal to Noise Ratio (SNR), Signal to Noise Ratio Improvement (SNRI) and Mean Opinion Score (MOS). Both the systems are tested with one female and one male speech distorted with diff erent types of noise at -5dB,0dB,5dB,10dB,15dB and 20dB SNR. The values are calculated for the diff erent number of subbands, as the main focus is on modulation domain system. It provided efficient results in terms of SNRI and MOS score.

Place, publisher, year, edition, pages
2011. , 58 p.
Keyword [en]
Filterbank, Coherent Envelope Detection, Incoherent Envelope Detection, Modulation Domain, Multichannel Wiener Filtering
National Category
Signal Processing
URN: urn:nbn:se:bth-6043Local ID: diva2:833461
Available from: 2015-04-22 Created: 2011-01-24 Last updated: 2015-06-30Bibliographically approved

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