Speaker verification using I-vector features


Autoria(s): Kanagasundaram, Ahilan
Data(s)

2014

Resumo

This PhD research has provided novel solutions to three major challenges which have prevented the wide spread deployment of speaker recognition technology: (1) combating enrolment/ verification mismatch, (2) reducing the large amount of development and training data that is required and (3) reducing the duration of speech required to verify a speaker. A range of applications of speaker recognition technology from forensics in criminal investigations to secure access in banking will benefit from the research outcomes.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/77834/

Publicador

Queensland University of Technology

Relação

http://eprints.qut.edu.au/77834/1/Ahilan_Kanagasundaram_Thesis.pdf

Kanagasundaram, Ahilan (2014) Speaker verification using I-vector features. PhD thesis, Queensland University of Technology.

Fonte

School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty

Palavras-Chave #speaker verification #I-vectors #PLDA #LDA #WLDA #channel compensation #short utterance i-vectors #SN-WLDA #utterance varaince modelling #GPLDA
Tipo

Thesis