Articulatory feature-based conditional pronunciation modeling for speaker verification

Ka Yee Leung, Man Wai Mak, Sun Yuan Kung

Research output: Contribution to conferencePaperpeer-review

9 Scopus citations


Because of the differences in education background, accents, etc., different persons have their unique way of pronunciation. This paper exploits the pronunciation characteristics of speakers and proposes a new conditional pronunciation modeling (CPM) technique for speaker verification. The proposed technique aims to establish a link between articulatory properties (e.g., manners and places of articulation) and phoneme sequences produced by a speaker. This is achieved by aligning two articulatory feature (AF) streams with a phoneme sequence determined by a phoneme recognizer, and formulating the probabilities of articulatory classes conditioned on the phonemes as speaker-dependent probabilistic models. The scores obtained from the AF-based pronunciation models are then fused with those obtained from a spectral-based speaker verification system, with the frame-by-frame fused scores weighted by the confidence of the pronunciation models. Evaluations based on the SPIDRE corpus demonstrate that AF-based CPM systems can recognize speakers even with short utterances and are readily combined with spectral-based systems to further enhance the reliability of speaker verification.

Original languageEnglish (US)
Number of pages4
StatePublished - Jan 1 2004
Event8th International Conference on Spoken Language Processing, ICSLP 2004 - Jeju, Jeju Island, Korea, Republic of
Duration: Oct 4 2004Oct 8 2004


Other8th International Conference on Spoken Language Processing, ICSLP 2004
Country/TerritoryKorea, Republic of
CityJeju, Jeju Island

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Linguistics and Language


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