Music Data Analysis: Foundations and Applications, 1st Edition (Paperback) book cover

Music Data Analysis

Foundations and Applications, 1st Edition

Edited by Claus Weihs, Dietmar Jannach, Igor Vatolkin, Guenter Rudolph

Chapman and Hall/CRC

676 pages

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Description

This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects of music data analysis such as architecture, user interface and hardware. It is ideal for use in university classes with an interest in music data analysis. It also could be used in computer science and statistics as well as musicology.

Table of Contents

MUSIC AND AUDIO. Introduction. The Musical Signal - Physically and Psychologically. Musical Structures and Their Perception. Digital Signal Processing. Digital Representation of Music. Signal-level Features. METHODS. Foundations of Statistics. Optimization. Unsupervised Classification. Supervised Classification. Evaluation. Feature Processing. Feature Selection. APPLICATIONS. Transcription. Segmentation. Instrument Recognition. Chord and Harmony Recognition. Tempo Recognition. Emotions. Structuring Of Music Collections. Music Recommendation. Automatic Composition. IMPLEMENTATION. Architecture. User Interaction. Hardware.

About the Editors



Dietmar Jannach, Günter Rudolphm and Igor Vatolkin are affiliated with the Department of Computer Science, TU Dortmund University, Germany





Claus Weihs is affiliated with the Department of Statistics at TU Dortmund University, Germany

Subject Categories

BISAC Subject Codes/Headings:
BUS061000
BUSINESS & ECONOMICS / Statistics
COM021030
COMPUTERS / Database Management / Data Mining
MAT029000
MATHEMATICS / Probability & Statistics / General
SCI010000
SCIENCE / Biotechnology