| Paper: | SP-L4.4 | ||
| Session: | Higher-Level Knowledge in Speaker Recognition | ||
| Time: | Wednesday, May 19, 16:30 - 16:50 | ||
| Presentation: | Lecture | ||
| Topic: | Speech Processing: Speaker Recognition | ||
| Title: | APPLYING ARTICULATORY FEATURES TO TELEPHONE-BASED SPEAKER VERIFICATION | ||
| Authors: | Ka-Yee Leung; Hong Kong Polytechnic University | ||
| Man-Wai Mak; Hong Kong Polytechnic University | |||
| Sun-Yuan Kung; Princeton University | |||
| Abstract: | This paper presents an approach that uses articulatory features(AFs) derived from spectral features for telephone-basedspeaker verification. To minimize the acoustic mismatch causedby different handsets, handset-specific normalization isapplied to the spectral features before the AFs are extracted.Experimental results based on 150 speakers using 10 differenthandsets show that AFs contain useful speaker-specificinformation for speaker verification and the use ofhandset-specific normalization significantly lowers theerror rates under the handset mismatched conditions.Results also demonstrate that fusing the scores obtainedfrom an AF-based system with those obtained from a spectralfeature-based (MFCC) system helps lower the error rates ofthe individual systems. | ||
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