Music Query: Methods, Models, And User Studies (Paperback)

Description:

The field of music query has grown from tentative beginnings in bibliographical systems of earlier decades to a substantial area of interdisciplinary studies in little more than a decade. This volume assembles recent studies from Europe and North America concerned with the query and analysis of musical data. Among these, methods for the synchronization of sound and symbolic data, for automatic analysis through perceptual rules, and for computing a "transportation" distance for thematic comparison are described. The modeling of rhythmic motifs, of melodic traits, and of cognitive distance are discussed. User studies report on human preferences in modes of query (humming vs. tapping, etc.) and on the comparative success rates of more than two dozen proposed metrics for melodic comparison.

Walter B. Hewlett is a Consulting Professor of Music at Stanford University.

Eleanor Selfridge-Field is Professor of Music and Symbolic Systems at Stanford University and a Senior Research Associate at the Center for Computer Assisted Research in the Humanities.

 

描述：
音樂查詢領域從幾十年前的文獻系統的初步嘗試，發展成為跨學科研究的重要領域，僅僅十多年的時間。本書匯集了來自歐洲和北美的最新研究，關注音樂數據的查詢和分析。其中描述了聲音和符號數據同步的方法，通過感知規則進行自動分析的方法，以及計算主題比較的“運輸”距離的方法。還討論了節奏動機、旋律特徵和認知距離的建模。使用者研究報告了人們在查詢方式（哼唱 vs. 敲擊等）上的偏好，以及二十多種提出的旋律比較指標的相對成功率。

Walter B. Hewlett是斯坦福大學音樂諮詢教授。

Eleanor Selfridge-Field是斯坦福大學音樂和符號系統教授，也是斯坦福大學計算機輔助研究人文中心的高級研究員。