A multi-boosted HMM approach to lip password based speaker verification

Xin Liu*, Yiu Ming CHEUNG

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper presents a multi-boosted Hidden Markov Model (HMM) approach to lip password (i.e. the password embedded in the lip motion) based speaker verification, where the speaker is verified by both of lip password and the underlying characteristics of lip motions. That is, the target speaker saying the wrong password or an impostor even knowing the correct password will be detected as well. To this end, we firstly propose an effective lip motion segmentation algorithm to segment the password sequence into a small set of discrete subunits. Then, we integrate HMMs with boosting learning framework associated with the random subspace method (RSM) and data sharing scheme (DSS) to model the segmental sequence of the input subunit discriminatively so that a precise decision boundary is formulated for these subunits verification. Finally, the speaker is verified based on all verification results of the subunits learned from multi-boosted HMMs. Experimental results show the promising results.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages2197-2200
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: 25 Mar 201230 Mar 2012

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Country/TerritoryJapan
CityKyoto
Period25/03/1230/03/12

Scopus Subject Areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Lip Motion
  • Lip Password
  • Multi-boosted HMMs
  • Speaker Verification

Fingerprint

Dive into the research topics of 'A multi-boosted HMM approach to lip password based speaker verification'. Together they form a unique fingerprint.

Cite this