Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Hybrid HMM/ANN and GMM Combination for User-Customized Password Speaker Verification
 
conference paper

Hybrid HMM/ANN and GMM Combination for User-Customized Password Speaker Verification

BenZeghiba, Mohamed Faouzi
•
Bourlard, Hervé  
2003
Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03)
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03)

Recently we have proposed an approach for user-customized password speaker verification; in this approach, we combined a hybrid HMM/ANN model (used for utterance verification) and a GMM model (used for speaker verification). In this paper, we extend our investigations. First, we propose a new similarity measure that uses confidence measures developed in the HMM/ANN framework. Secondly, we analyze the contribution of each model using a weighted sum combination technique. Experiments conducted on a subset of the PolyVar database show that for a short password the performance of the combined system did not improve significantly compared to the performance using the GMM model alone, and that the HMM/ANN did not contribute much in the combined system. We discuss possible reasons for this.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

rr02-45.pdf

Access type

openaccess

Size

307.99 KB

Format

Adobe PDF

Checksum (MD5)

a926ac8209e506ab8d5ecd71363e0e07

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés