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From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces

  • Jacek Grekow

Part of the Studies in Computational Intelligence book series (SCI, volume 747)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Jacek Grekow
    Pages 1-3
  3. Emotion in Music

    1. Front Matter
      Pages 5-5
    2. Jacek Grekow
      Pages 7-11
    3. Jacek Grekow
      Pages 13-24
  4. Emotion Detection in MIDI Files

    1. Front Matter
      Pages 25-25
    2. Jacek Grekow
      Pages 27-41
  5. Emotion Detection in Audio Files

  6. Back Matter
    Pages 131-138

About this book

Introduction

The problems it addresses include emotion representation, annotation of music excerpts, feature extraction, and machine learning. The book chiefly focuses on content-based analysis of music files, a system that automatically analyzes the structures of a music file and annotates the file with the perceived emotions. Further, it explores emotion detection in MIDI and audio files.

In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation. The automatic emotion detection systems constructed and described in the book make it possible to index and subsequently search through music databases according to emotion. In turn, the emotion maps of musical compositions provide valuable new insights into the distribution of emotions in music and can be used to compare that distribution in different compositions, or to conduct emotional comparisons of different interpretations of the same composition.

Keywords

Music Emotion Recognition Emotion Maps of Musical Compositions Content-based Music Emotion Recognition Emotion Maps of Musical Pieces Emotion Detection

Authors and affiliations

  • Jacek Grekow
    • 1
  1. 1.Faculty of Computer ScienceBialystok University of Technology BiałystokPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-70609-2
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-70608-5
  • Online ISBN 978-3-319-70609-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site