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Author Leung, Ka-Yee ♦ Mak, Man-Wai ♦ Siu, Manhung ♦ Kung, Sun-Yuan
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Discriminative Power ♦ Map Adaptation ♦ Conditional Probability ♦ Background Model ♦ Spectral Feature ♦ Speech Production ♦ Speaker Data ♦ Universal Background Model ♦ Speaker Model ♦ Afcpm-based System ♦ Pronunciation Characteristic ♦ Actual Phone ♦ Speaker Verification Using Adapted Articulatory ♦ Speaker Verification System ♦ Error Rate ♦ Articulatory Feature-based Conditional Pronunciation Modeling ♦ Handset Mismatch ♦ Conditional Pronunciation Modeling ♦ Direct Coupling ♦ Articulatory Class ♦ Experimental Result ♦ Conventional Spectral-based System ♦ Individual System
Description This paper proposes a speaker verification system based on articulatory feature-based conditional pronunciation modeling (AFCPM). The system captures the pronunciation characteristics of speakers by modeling the linkage between the actual phones produced by the speakers and the state of articulations during speech production. The speaker models, which consist of conditional probabilities of two articulatory classes, are adapted from a set of universal background models (UBMs) via MAP adaptation. This creates a direct coupling between the speaker and background models, which prevents over-fitting the speaker models when the amount of speaker data is limited. Experimental results demonstrate that MAP adaptation not only enhances the discriminative power of the speaker models but also improves their robustness against handset mismatches. Results also show that fusing the scores derived from an AFCPM-based system and a conventional spectral-based system achieves an error rate that is significantly lower than that can be achieved by the individual systems. This suggests that AFCPM and spectral features are complementary to each other. 1.
in Proc. ICASSP 2005
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2005-01-01