Change search
ReferencesLink to record
Permanent link

Direct link
Blekinge Institute of Technology, School of Engineering.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

De-reverberation of speech signals in a hands-free scenario by adaptive algorithms has been a research topic for several years now. However, it is still a challenging problem because of the nature of common room impulse response (RIR). RIR is generated arti´Čücially based on parameters of the room and its intensity depends on the size, shape, dimensions and materials used in the construction of the room. Speech signals recorded with a distant microphone in a usual room contains certain reverberant quality; this often causes severe degradation in automatic speech recognition performance. Resulting, the degradation of speech signal quality leads to reduced intelligibility to listeners. In this thesis Non Blind and Blind Deconvolution algorithms such as Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Recursive Least Square (RLS), Affine Projection Algorithm (APA) & Constant Modulus Algorithm (CMA) are implemented for removing reverberation in a room environment using a single microphone. The performances of these methods are analyzed using Reverberation Index (RR) and Speech Distortion (SD) parameters. The performances of these methods are tested for two different room sizes and three different reflection coefficients with a total of six different setups for five different filter orders.

Place, publisher, year, edition, pages
2012. , 51 p.
Keyword [en]
Adaptive algorithms, CMA, Reverberation, Reverberation index, Speech Distortion.
National Category
Signal Processing
URN: urn:nbn:se:bth-2489Local ID: diva2:829768
Suryavamsi Atresya Uppaluru C/O Srinivasan jayaraman, Utridervagen 3b,Karlskrona-37140. E-mail: Phone No: 0046-760244567Available from: 2015-04-22 Created: 2012-09-13 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(1554 kB)90 downloads
File information
File name FULLTEXT01.pdfFile size 1554 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
School of Engineering
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 90 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 60 hits
ReferencesLink to record
Permanent link

Direct link