Music Data Analysis (eBook, ePUB)

Foundations and Applications
Redaktion: Weihs, Claus; Rudolph, Guenter; Vatolkin, Igor; Jannach, Dietmar

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 694
• Erscheinungstermin: 17. November 2016
• Englisch
• ISBN-13: 9781315353838
• Artikelnr.: 47392481

Autorenporträt

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

Inhaltsangabe

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.