NDLI: Sentence-HMM state-based i-vector/PLDA modelling for improved performance in text dependent single utterance speaker verification

Content Provider	IET Digital Library
Author	Büyük, Osman
Abstract	In this paper, we make use of hidden Markov model (HMM) state alignment information in i-vector/probabilistic linear discriminant analysis (PLDA) framework to improve the verification performance in a text-dependent single utterance (TDSU) task. In the TDSU task, speakers repeat a fixed utterance in both enrollment and authentication sessions. Despite Gaussian mixture models (GMMs) have been the dominant modeling technique for text-independent applications, an HMM based method might be better suited for the TDSU task since it captures the co-articulation information better. Recently, powerful channel compensation techniques such as joint factor analysis (JFA), i-vectors and PLDA have been proposed for GMM based text-independent speaker verification. In this study, we train a separate i-vector/PLDA model for each sentence HMM state in order to utilize the alignment information of the HMM states in a TDSU task. The proposed method is tested using a multi-channel speaker verification database. In the experiments, it is observed that HMM state based i-vector/PLDA (i-vector/PLDA-HMM) provides approximately 67% relative reduction in equal error rate (EER) when compared to the i-vector/PLDA. The proposed method also outperforms the baseline GMM and sentence HMM methods. It yields approximately 51% relative reduction in EER over the best performing sentence HMM method.
Starting Page	918
Ending Page	923
Page Count	6
ISSN	17519675
Volume Number	10
e-ISSN	17519683
Issue Number	Issue 8, Oct (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/10/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2015.0288
Journal	IET Signal Processing
Publisher Date	2016-05-31
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Authentication Session Authorisation Channel Compensation Co-articulation Information Data Security EER Enrolment Session Equal Error Rate Error Analysis Error Analysis in Numerical Method Gaussian Mixture Model Gaussian Processes GMM Hidden Markov Model I-vector Modelling Markov Processes Mixture Model Multichannel Speaker Verification Database PLDA Probabilistic Linear Discriminant Analysis Sentence-HMM State Speaker Recognition Speech Processing Technique Speech Recognition Speech Recognition And Synthesis State Alignment Information Statistics TDSU Task Text Dependent Single Utterance Task Vector Verification Performance
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Model selection and score normalization for text-dependent single utterance speaker verification

Model selection and score normalization for text-dependent single utterance speaker verification

Model selection and score normalization for text-dependent single utterance speaker verification

Duration compensation of i-vectors for short duration speaker verification

Identity Vector Extraction Using Shared Mixture of PLDA for Short-Time Speaker Recognition

Cross-domain variation compensation for robust speaker verification

PHONETICALLY-CONSTRAINED PLDA MODELING FOR TEXT-DEPENDENT SPEAKER VERIFICATION WITH MULTIPLE SHORT UTTERANCES

Mixture of PLDA for Noise Robust I-Vector Speaker Verification

Discriminatively learned network for i-vector based speaker recognition

Sentence-HMM state-based i-vector/PLDA modelling for improved performance in text dependent single utterance speaker verification

Similar Documents

Model selection and score normalization for text-dependent single utterance speaker verification

Model selection and score normalization for text-dependent single utterance speaker verification

Model selection and score normalization for text-dependent single utterance speaker verification

Duration compensation of i-vectors for short duration speaker verification

Identity Vector Extraction Using Shared Mixture of PLDA for Short-Time Speaker Recognition

Cross-domain variation compensation for robust speaker verification

PHONETICALLY-CONSTRAINED PLDA MODELING FOR TEXT-DEPENDENT SPEAKER VERIFICATION WITH MULTIPLE SHORT UTTERANCES

Mixture of PLDA for Noise Robust I-Vector Speaker Verification

Discriminatively learned network for i-vector based speaker recognition

Sentence-HMM state-based i-vector/PLDA modelling for improved performance in text dependent single utterance speaker verification