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Analysis and implementation of the speaker adaptation techniques : MAP, MLLR, and MLED

Thesis (MScEng)--University of Stellenbosch, 2002.

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Main Author: Fanner, Robert M.
Other Authors: Du Preez, J. A.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2012
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access_status_str Open Access
author Fanner, Robert M.
author2 Du Preez, J. A.
author_browse Du Preez, J. A.
Fanner, Robert M.
author_facet Du Preez, J. A.
Fanner, Robert M.
author_sort Fanner, Robert M.
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MScEng)--University of Stellenbosch, 2002.
format Thesis
id oai:scholar.sun.ac.za:10019.1/52653
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:44:24.378Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2012
publishDateRange 2012
publishDateSort 2012
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/52653 Analysis and implementation of the speaker adaptation techniques : MAP, MLLR, and MLED Fanner, Robert M. Du Preez, J. A. Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering Automatic speech recognition Speech processing systems Dissertations -- Electronic engineering Theses -- Electronic engineering Thesis (MScEng)--University of Stellenbosch, 2002. ENGLISH ABSTRACT: The topic of this thesis is speaker adaptation, whereby speaker-independent speech models are adapted to more closely match individual speakers by utilising a small amount of data from the targeted individual. Speaker adaptation methods - specifically, the MAP, MLLR and MLED speaker adaptation methods - are critically evaluated and compared. Two novel extensions of the MLED adaptation method are introduced, derived and evaluated. The first incorporates the explicit modelling of the mean speaker model in the speaker-space into the MLED framework. The second extends MLED to use basis vectors modelling inter-class variance for classes of speech models, instead of basis vectors modelling inter-speaker variance. An evaluation of the effect of two different types of feature vector - PLP-cepstra and LPCCs - on the performance of speaker adaptation is made, to determine which feature vector is optimal for speaker-independent systems and the adaptation thereof. AFRIKAANSE OPSOMMING: Die onderwerp van hierdie tesis is spreker-aanpassing, dit wil sê, die verandering van 'n spreker-onafhanklike spraakmodel om nader aan 'n spreker-afhanklike model vir 'n individu te wees, gegewe 'n klein hoeveelheid spraakdata van die individu. Die volgende sprekeraanpassing-metodes word geëvalueer: MAP, MLLR en MLED. Twee nuwe uitbreidings vir die MLED-metode word beskryf, afgelei en geëvalueer. Die eerste inkorporeer die eksplisiete modellering van die gemiddelde sprekermodel van die sprekerruimte in die MLED metode. Die tweede uitbreiding maak gebruik van basisvektore vir MLED wat vanaf die interklas-variansie tussen 'n stel sprekerklasse in plaas van die interspreker-variansie afgelei is. Die effek van twee tipes kenmerk-vektore - PLP-kepstra en LPCC's - op die prestasie van sprekeraanpassings-metodes word ondersoek, sodat die optimale tipe kenmerk-vektor vir spreker-onafhanklike modelle en hul aanpassing gevind kan word. 2012-08-27T11:35:05Z 2012-08-27T11:35:05Z 2002-12 Thesis http://hdl.handle.net/10019.1/52653 en_ZA Stellenbosch University 236 p. : ill. application/pdf Stellenbosch : Stellenbosch University
spellingShingle Automatic speech recognition
Speech processing systems
Dissertations -- Electronic engineering
Theses -- Electronic engineering
Fanner, Robert M.
Analysis and implementation of the speaker adaptation techniques : MAP, MLLR, and MLED
title Analysis and implementation of the speaker adaptation techniques : MAP, MLLR, and MLED
title_full Analysis and implementation of the speaker adaptation techniques : MAP, MLLR, and MLED
title_fullStr Analysis and implementation of the speaker adaptation techniques : MAP, MLLR, and MLED
title_full_unstemmed Analysis and implementation of the speaker adaptation techniques : MAP, MLLR, and MLED
title_short Analysis and implementation of the speaker adaptation techniques : MAP, MLLR, and MLED
title_sort analysis and implementation of the speaker adaptation techniques map mllr and mled
topic Automatic speech recognition
Speech processing systems
Dissertations -- Electronic engineering
Theses -- Electronic engineering
url http://hdl.handle.net/10019.1/52653
work_keys_str_mv AT fannerrobertm analysisandimplementationofthespeakeradaptationtechniquesmapmllrandmled