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Comparison of MPEG-7 Basis Projection Features and MFCC applied to Robust Speaker Recognition
Citation key 0778Kim2004
Author Hyoung-Gook Kim and Martin Haller and Thomas Sikora
Title of Book ISCA - A Speaker Odyssey 2004
Year 2004
Address Toledo, Spain
Month may
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.
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