Music Data Analysis: Foundations and Applications

ISBN-13: 9780367872816 / Angielski / Miękka / 2019 / 676 str.

Claus Weihs; Dietmar Jannach; Igor Vatolkin

Opis

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

Spis treści

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.

O autorze

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