A Singer Identification Technique for Content-Based Classification of MP3 Music Object

碩士 === 中華大學 === 資訊工程學系碩士班 === 90 === As there is a growing amount of MP3 music data available on the Internet today, the problems related to music classification and content-based music retrieval are getting more attention recently. In this paper, we propose an approach to automatically...

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Bibliographic Details
Main Authors:	Chuan-Sung Huang, 黃群菘
Other Authors:	Chih-Chin Liu
Format:	Others
Language:	zh-TW
Published:	2002
Online Access:	http://ndltd.ncl.edu.tw/handle/04573115748261109249

id	ndltd-TW-090CHPI0392002
record_format	oai_dc
spelling	ndltd-TW-090CHPI03920022015-10-13T17:34:59Z http://ndltd.ncl.edu.tw/handle/04573115748261109249 A Singer Identification Technique for Content-Based Classification of MP3 Music Object 一種用於MP3音樂物件內涵式分類的歌手識別技術 Chuan-Sung Huang 黃群菘碩士中華大學資訊工程學系碩士班 90 As there is a growing amount of MP3 music data available on the Internet today, the problems related to music classification and content-based music retrieval are getting more attention recently. In this paper, we propose an approach to automatically classify MP3 music objects according to their singers. First, the coefficients extracting from the output of the polyphase filters are used to compute the MP3 features for segmentation. Based on these features, an MP3 music object can be decomposed into a sequence of notes (or phonemes). Then for each MP3 phoneme in the training set, its MP3 feature is extracted and used to train an MP3 classifier which can identify the singer of an unknown MP3 music object. Experiments are performed and analyzed to show the effectiveness and the efficiency of the proposed method. Chih-Chin Liu 劉志俊 2002 學位論文 ; thesis 45 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 中華大學 === 資訊工程學系碩士班 === 90 === As there is a growing amount of MP3 music data available on the Internet today, the problems related to music classification and content-based music retrieval are getting more attention recently. In this paper, we propose an approach to automatically classify MP3 music objects according to their singers. First, the coefficients extracting from the output of the polyphase filters are used to compute the MP3 features for segmentation. Based on these features, an MP3 music object can be decomposed into a sequence of notes (or phonemes). Then for each MP3 phoneme in the training set, its MP3 feature is extracted and used to train an MP3 classifier which can identify the singer of an unknown MP3 music object. Experiments are performed and analyzed to show the effectiveness and the efficiency of the proposed method.
author2	Chih-Chin Liu
author_facet	Chih-Chin Liu Chuan-Sung Huang 黃群菘
author	Chuan-Sung Huang 黃群菘
spellingShingle	Chuan-Sung Huang 黃群菘 A Singer Identification Technique for Content-Based Classification of MP3 Music Object
author_sort	Chuan-Sung Huang
title	A Singer Identification Technique for Content-Based Classification of MP3 Music Object
title_short	A Singer Identification Technique for Content-Based Classification of MP3 Music Object
title_full	A Singer Identification Technique for Content-Based Classification of MP3 Music Object
title_fullStr	A Singer Identification Technique for Content-Based Classification of MP3 Music Object
title_full_unstemmed	A Singer Identification Technique for Content-Based Classification of MP3 Music Object
title_sort	singer identification technique for content-based classification of mp3 music object
publishDate	2002
url	http://ndltd.ncl.edu.tw/handle/04573115748261109249
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A Singer Identification Technique for Content-Based Classification of MP3 Music Object

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