Music Data Mining (Hardcover)

The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing.

The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters. With a focus on data classification, it then describes a computational approach inspired by human auditory perception and examines instrument recognition, the effects of music on moods and emotions, and the connections between power laws and music aesthetics. Given the importance of social aspects in understanding music, the text addresses the use of the Web and peer-to-peer networks for both music data mining and evaluating music mining tasks and algorithms. It also discusses indexing with tags and explains how data can be collected using online human computation games. The final chapters offer a balanced exploration of hit song science as well as a look at symbolic musicology and data mining.

The multifaceted nature of music information often requires algorithms and systems using sophisticated signal processing and machine learning techniques to better extract useful information. An excellent introduction to the field, this volume presents state-of-the-art techniques in music data mining and information retrieval to create novel ways of interacting with large music collections.

音樂資訊檢索的研究領域逐漸演變，以應對有效存取和互動大量音樂和相關資料（如風格、藝術家、歌詞和評論）的挑戰。《音樂資料探勘》匯集了一系列跨學科的頂尖研究人員，提供了多種成功應用資料探勘技術進行音樂處理的方法。

本書首先介紹了音樂資料探勘任務和演算法以及音頻特徵提取，為後續章節提供了框架。接著，重點關注資料分類，描述了一種受人類聽覺感知啟發的計算方法，並探討樂器識別、音樂對情緒和情感的影響，以及冪律與音樂美學之間的聯繫。考慮到社會因素在理解音樂中的重要性，本書討論了使用網絡和點對點網絡進行音樂資料探勘和評估音樂探勘任務和演算法的方法。它還討論了使用標籤進行索引的方法，並解釋了如何使用在線人類計算遊戲收集資料。最後幾章平衡地探討了熱門歌曲科學以及象徵音樂學和資料探勘。

音樂資訊的多面性通常需要使用複雜的信號處理和機器學習技術的演算法和系統，以更好地提取有用的資訊。作為該領域的優秀入門書，本書介紹了音樂資料探勘和資訊檢索的最新技術，創造了與大型音樂收藏互動的新方式。