Effects of audio compression on chord recognition

Aiko Uemura, Kazumasa Ishikura, Jiro Katto

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Feature analysis of audio compression is necessary to achieve high accuracy in musical content recognition and content-based music information retrieval (MIR). Bit rate differences are expected to adversely affect musical content analysis and content-based MIR results because the frequency response might be changed by the encoding. In this paper, we specifically examine its effect on the chroma vector, which is a commonly used feature vector for music signal processing. We analyze sound qualities extracted from encoded music files with different bit rates and compare them with the chroma features of original songs obtained using datasets for chord recognition.

本文言語English
ホスト出版物のタイトルMultiMedia Modeling - 20th Anniversary International Conference, MMM 2014, Proceedings
ページ345-352
ページ数8
PART 2
DOI
出版ステータスPublished - 2014 2月 7
イベント20th Anniversary International Conference on MultiMedia Modeling, MMM 2014 - Dublin, Ireland
継続期間: 2014 1月 62014 1月 10

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
8326 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference20th Anniversary International Conference on MultiMedia Modeling, MMM 2014
国/地域Ireland
CityDublin
Period14/1/614/1/10

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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