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Text-prompted speaker verification experiments with phoneme specific MLPs

  • Dijana Petrovska Delacretaz
  • , Jean Hennebert
  • ETH
  • Circuits and Systems Group

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

28 Citations (Scopus)

Résumé

The aims of the study described in this paper are (1) to assess the relative speaker discriminant properties of phonemes and (2) to investigate the importance of the temporal frame-to-frame information for speaker modelling in the framework of a text-prompted speaker verification system using hidden Markov models (HMMs) and multilayer perceptrons (MLPs). It is shown that, with similar experimental conditions, nasals, fricatives and vowels convey more speaker specific information than plosives and liquids. Regarding the influence of the frame-to-frame temporal information, significant improvements are reported from the inclusion of several acoustic frames at the input of the MLPs. The results tend also to show that each phoneme has its optimal MLP context size giving the best equal error rate (EER).

langue originaleAnglais
titreProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
Pages777-780
Nombre de pages4
Les DOIs
étatPublié - 1 déc. 1998
Modification externeOui
Evénement1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998 - Seattle, WA, États-Unis
Durée: 12 mai 1998 → 15 mai 1998

Série de publications

NomICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
ISSN (imprimé)1520-6149

Une conférence

Une conférence1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
Pays/TerritoireÉtats-Unis
La villeSeattle, WA
période12/05/98 → 15/05/98

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