Advances in music information retrieval
著者
書誌事項
Advances in music information retrieval
(Studies in computational intelligence, v. 274)
Springer Verlag, c2010
大学図書館所蔵 全5件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Sound waves propagate through various media, and allow communication or entertainment for us, humans. Music we hear or create can be perceived in such aspects as rhythm, melody, harmony, timbre, or mood. All these elements of music can be of interest for users of music information retrieval systems. Since vast music repositories are available for everyone in everyday use (both in private collections, and in the Internet), it is desirable and becomes necessary to browse music collections by contents. Therefore, music information retrieval can be potentially of interest for every user of computers and the Internet. There is a lot of research performed in music information retrieval domain, and the outcomes, as well as trends in this research, are certainly worth popularizing. This idea motivated us to prepare the book on Advances in Music Information Retrieval.
It is divided into four sections: MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval. Glossary of basic terms is given at the end of the book, to familiarize readers with vocabulary referring to music information retrieval.
目次
Music Information Retrieval: Indexing, Representations, and Platforms.- Indexing Techniques for Non-metric Music Dissimilarity Measures.- Clustering Driven Cascade Classifiers for Multi-indexing of Polyphonic Music by Instruments.- Representations of Music in Ranking Rhythmic Hypotheses.- Mid-level Representations of Musical Audio Signals for Music Information Retrieval.- The Music Information Retrieval Evaluation eXchange: Some Observations and Insights.- Harmony.- Chord Analysis Using Ensemble Constraints.- BREVE: An HMPerceptron-Based Chord Recognition System.- Analysis of Chord Progression Data.- Content-Based Identification and Retrieval of Musical Information.- Statistical Music Modeling Aimed at Identification and Alignment.- Harmonic and Percussive Sound Separation and Its Application to MIR-Related Tasks.- Violin Sound Quality: Expert Judgements and Objective Measurements.- Emotion Based MIDI Files Retrieval System.- On Search for Emotion in Hindusthani Vocal Music.- Music Similarity.- Audio Cover Song Identification and Similarity: Background, Approaches, Evaluation, and Beyond.- Multimodal Aspects of Music Retrieval: Audio, Song Lyrics - and Beyond?.- Melodic Grouping in Music Information Retrieval: New Methods and Applications.- Automatic Musical Genre Classification and Artificial Immune Recognition System.
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