Feature Extraction Using Wavelet Transformation for Audio Fingerprinting

碩士 === 大同大學 === 資訊工程學系(所) === 93 === An innovated feature extraction algorithm by using discrete wavelet transform (DWT) for audio fingerprinting was proposed in this study. In this study, we attempt to reduce minimal length of audio needed for identification (i.e. granularity) for increasing flexib...

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Bibliographic Details
Main Authors: Hsing-Chih Wang, 王行之
Other Authors: Shang-Lin Hsieh
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/37857971108977067727