Paper: | SLP-P8.8 |
Session: | Speaker Recognition: Features |
Time: | Wednesday, May 17, 10:00 - 12:00 |
Presentation: |
Poster
|
Topic: |
Speech and Spoken Language Processing: Speaker Verification |
Title: |
JOINT ACOUSTIC-MODULATION FREQUENCY FOR SPEAKER RECOGNITION |
Authors: |
Tomi Kinnunen, Institute for Infocomm Research, Singapore |
Abstract: |
We propose a method for computing joint acoustic-modulation frequency feature for speaker recognition. This feature describes the amplitude modulation spectrum of each subband, and results in a single feature vector per utterance. This vector is directly used as the speaker's modulation frequency template, excluding the need for a separate training phase. The effects of analysis parameters and pattern matching are studied using the NIST 2001 corpus. When fusing the proposed feature with the baseline MFCC/GMM system, EER is reduced from 18.2 % to 16.7 %. |