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| Paper: | MSP-P2.2 |
| Session: | Multimedia Systems and Applications |
| Time: | Friday, May 21, 13:00 - 15:00 |
| Presentation: |
Poster |
| Topic: |
Multimedia Signal Processing: Multimedia Database |
| Title: |
COMPARISON OF MPEG-7 AUDIO SPECTRUM PROJECTION FEATURES AND MFCC APPLIED TO SPEAKER RECOGNITION, SOUND CLASSIFICATION AND AUDIO SEGMENTATION |
| Authors: |
Hyoung-Gook Kim; Technical University of Berlin | | |
| | Thomas Sikora; Technical University of Berlin | | |
| Abstract: |
Our purpose is to evaluate the MPEG-7 Audio Spectrum Projection (ASP) features for general sound recognition performance vs. well established MFCC. The recognition tasks of interest are speaker recognition, sound classification, and segmentation of audio using sound/speaker identification. For the sound classification we use three approaches: the direct approach, the hierarchical approach without hints, and the hierarchical approach with hints. For audio segmentation the MPEG-7 ASP features and MFCCs are used to train hidden Markov models (HMM) for individual speakers and sounds. The trained sound/speaker models are then used to segment conversational speech involving a given subset of people in panel discussion television programs. Results show that MFCC approach yields sound/speaker recognition rate superior to MPEG-7 implementations. |
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