Inlämning av Examensarbete / Submission of Thesis

SURYAVAMSI ATRESYA UPPALURU , pp. 51. ING/School of Engineering, 2012.

The work

Författare / Author: SURYAVAMSI ATRESYA UPPALURU
suua10@student.bth.se
Titel / Title: BLIND DECONVOLUTION AND ADAPTIVE ALGORITHMS FOR DE-REVERBERATION
Abstrakt Abstract:

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 artificially 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.

Ämnesord / Subject: Signalbehandling - Signal Processing
Signalbehandling - Signal Processing
Signalbehandling - Signal Processing
Nyckelord / Keywords: Adaptive algorithms, CMA, Reverberation, Reverberation index, Speech Distortion.

Publication info

Dokument id / Document id: houn-8y4k33
Program:/ Programme Magisterprogram i Elektroteknik / Master of Science in Electrical Engineering
Registreringsdatum / Date of registration: 09/13/2012
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)

Context

Handledare / Supervisor: Dr. Nedelko Grbic
nedelko.grbic@bth.se
Examinator / Examiner: Dr. Benny Sällberg
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: ING/School of Engineering

+46 455 38 50 00
Anmärkningar / Comments:

Suryavamsi Atresya Uppaluru
C/O Srinivasan jayaraman,
Utridervagen 3b,Karlskrona-37140.
E-mail: suua10@student.bth.se
Phone No: 0046-760244567

Files & Access

Bifogad uppsats fil(er) / Files attached: bth2012uppaluru.pdf (1591 kB, öppnas i nytt fönster)