Feature Extraction using Gaussian-MFCC for Speaker Recognition System
2021 IEEE 5th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)（2021）
Abstract
Voice is one of biometrics that is interesting to be analyzed. A voice from a person has a unique form. It cannot be identically produced twice or more. To extract this uniqueness, feature extraction is needed. One of the popular feature extractions is MFCC. The original MFCC uses triangular filter as its filter-bank. In this paper, the original filter-bank is compared with Gaussian filter-bank to...
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Key words
Electrical engineering,Euclidean distance,Speech recognition,Feature extraction,Information filters,Speaker recognition,Mel frequency cepstral coefficient
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