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| Conference/Proceedings | ISCA - A Speaker Odyssey 2004 |
| Start date | 31.05.2004 |
| End date | 04.06.2004 |
| Address | Toledo, Spain |
| Author(s) | Hyoung-Gook Kim, Martin Haller, Thomas Sikora |
| Title | Comparison of MPEG-7 Basis Projection Features and MFCC applied to Robust Speaker Recognition |
| Abstract | Our purpose is to evaluate the efficiency of MPEG-7 basis projection (BP) features vs. Mel-scale Frequency Cepstrum Coefficients (MFCC) for speaker recognition in noisy environments.The MPEG-7 feature extraction mainly consists of a Normalized Audio Spectrum Envelope (NASE), a basis decomposition algorithm and a spectrum basis projection. Prior to the feature extraction the noise reduction algorithm is performed by using a modified log spectral amplitude speech estimator (LSA) and a minima controlled noise estimation (MC). The noise-reduced features can be effectively used in a HMM-based recognition system. The performance is measured by the segmental signal-to-noise ratio, and the recognition results of the MPEG-7 standardized features vs. Mel-scale Frequency Cepstrum Coefficients (MFCC) in comparison to other noise reduction methods. Results show that the MFCC features yield better performance compared to MPEG-7 features. |
| Key words | HMM, MFCC, MPEG-7, speaker recognition, |
| File | 0778Kim2004.pdf |
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