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Algorithms for estimating reverberation characteristics for single channel dereverberation
KTH, School of Electrical Engineering (EES), Signal Processing.
2010 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Speech enhancement systems achieving a joint suppression of reverberation and background

noise can be used in digital hearing aids, voice controlled systems or hands-free

telephony. Demanding requirements for computational complexity, signal delay and speech

quality must be fulfilled in order to achieve a satisfactory performance. The speech quality

depends on how accurate the reverberation characteristics such as the reverberation time

or the spectral variance of the late reverberant speech are estimated. In this thesis, an

efficient algorithm for a blind reverberation time estimation based on maximum likelihood

approach is introduced. The new algorithm allows to estimate reverberation times from

a much wider range with acceptable accuracy. Variance of the late reverberant speech

is another important quantity in dereverberation systems. Two late reverberant spectral

variance estimation methods are compared with regard to estimation accuracy and computational

complexity. Finally, the performance of the considered speech enhancement

system is analyzed with the improved reverberation time estimator.

Place, publisher, year, edition, pages
2010. , 61 p.
EES Examensarbete / Master Thesis
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-168016OAI: diva2:813880
Educational program
Master of Science - Wireless Systems
Available from: 2015-05-25 Created: 2015-05-25 Last updated: 2015-05-25Bibliographically approved

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