Inlämning av Examensarbete / Submission of Thesis

Pardhasaradhi Reddy Cherukula , pp. 54. ING/School of Engineering, 2012.

The work

Författare / Author: Pardhasaradhi Reddy Cherukula
Titel / Title: Close talk Speech enhancement in Linear Microphone array for Laptop application
Översatt titel / Translated title: Close talk Speech enhancement in Linear Microphone array for Laptop application
Abstrakt Abstract:

Now a day’s communication through laptops is drastically increasing in numerous fields. During the communication between person to person through laptops the speech signals is contaminated by the other speech interference signals. In order to enhance the desired speech signal from the noisy environment there are many algorithms are proposed in speech signal processing.

This thesis work studies about the suppression of interference signals produced by the surrounding environments for the close talk applications of laptop. In this thesis work uses the three microphones of linearly equi spaced in 3D-co-ordinate system. The speech enhancement algorithms implemented in microphone array were wiener beamforming, Generalized sidelobe canceller using LMS and N-LMS. In order to enhance the desired speech signal with good quality, compares the result of each algorithm using quality metrics like SNR, SNRI and PESQ.

The implementation and validation of the algorithms is simulated in Matlab. The quality metrics taken is SNRI and PESQ. In PESQ the output signal is compared with the original clean speech signal and gives the quality measure of the output signal. The SNR tests were conducted for the different input SNR values according to 0dB, 5dB, 10dB, 15dB, 20dB and 25dB.

The Simulation result shows that the wiener beamformer effective noise suppression i.e SNRI is 27.9869dB and maintains the speech quality i.e PESQ measurement is 1.459.The effective noise suppression i.e SNRI of the GSC using LMS is 6.0206 dB higher than the wiener beamformer and speech quality is slightly incremental. Comparing the results of GSC using LMS and N-LMS algorithms, The GSC using N-LMS gives the effective noise suppression 3.48dB higher than the GSC using LMS and speech quality i.e PESQ is slightly decreases.

Ämnesord / Subject: Signalbehandling - Signal Processing
Signalbehandling - Signal Processing
Signalbehandling - Signal Processing
Nyckelord / Keywords: Speech enhancement, Generalized sidelobe canceller, Wiener beamformer, Normalized least mean square algorithm.

Publication info

Dokument id / Document id: houn-8ulta3
Program:/ Programme Magisterprogram i Elektroteknik / Master of Science in Electrical Engineering
Registreringsdatum / Date of registration: 05/24/2012
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)


Handledare / Supervisor: Nedelko Grbic
Examinator / Examiner: Benny Sällberg
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: ING/School of Engineering

+46 455 38 50 00
Anmärkningar / Comments:

+46 723064343

Files & Access

Bifogad uppsats fil(er) / Files attached: bth2012cherukula.pdf (1825 kB, öppnas i nytt fönster)