| Paper: | SP-P3.12 | ||
| Session: | Topics in Speaker and Langauge Recognition | ||
| Time: | Tuesday, May 18, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Speaker Recognition | ||
| Title: | A PITCH SYNCHRONOUS FEATURE EXTRACTION METHOD FOR SPEAKER RECOGNITION | ||
| Authors: | Samuel Kim; Yonsei University | ||
| Thomas Eriksson; Chalmers University of Technology | |||
| Hong-Goo Kang; Yonsei University | |||
| Dae Hee Youn; Yonsei University | |||
| Abstract: | This paper presents a novel feature extraction method to improvethe performance of speaker identification systems. The proposedfeature has a form of a typical conventional feature, melfrequency ceptral coefficients (MFCC), but a flexiblesegmentation to reduce spectral mismatch between training andtesting processes. Specifically, the length and shift size of theanalysis frame are determined by a pitch synchronous method, pitchsynchronous MFCC (PSMFCC). To verify the performance of the newfeature, we measure the cepstral distortion between training andtesting and also perform closed set speaker identification tests.With text-independent and text-dependent experiments, theproposed algorithm provides 44.3% and 26.7% relativeimprovement respectively. | ||
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