O'Reilly logo

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Music Emotion Recognition

Book Description

Providing a complete review of existing work in music emotion developed in psychology and engineering, Music Emotion Recognition explains how to account for the subjective nature of emotion perception in the development of automatic music emotion recognition (MER) systems. Among the first publications dedicated to automatic MER, it begins with a comprehensive introduction to the essential aspects of MER—including background, key techniques, and applications.

This ground-breaking reference examines emotion from a dimensional perspective. It defines emotions in music as points in a 2D plane in terms of two of the most fundamental emotion dimensions according to psychologists—valence and arousal. The authors present a computational framework that generalizes emotion recognition from the categorical domain to real-valued 2D space. They also:

  • Introduce novel emotion-based music retrieval and organization methods
  • Describe a ranking-base emotion annotation and model training method
  • Present methods that integrate information extracted from lyrics, chord sequence, and genre metadata for improved accuracy
  • Consider an emotion-based music retrieval system that is particularly useful for mobile devices

The book details techniques for addressing the issues related to: the ambiguity and granularity of emotion description, heavy cognitive load of emotion annotation, subjectivity of emotion perception, and the semantic gap between low-level audio signal and high-level emotion perception. Complete with more than 360 useful references, 12 example MATLAB® codes, and a listing of key abbreviations and acronyms, this cutting-edge guide supplies the technical understanding and tools needed to develop your own automatic MER system based on the automatic recognition model.

Table of Contents

  1. Front Cover
  2. Contents (1/2)
  3. Contents (2/2)
  4. Preface
  5. Abbreviations
  6. 1. Introduction (1/3)
  7. 1. Introduction (2/3)
  8. 1. Introduction (3/3)
  9. 2. Overview of Emotion Description and Recognition (1/4)
  10. 2. Overview of Emotion Description and Recognition (2/4)
  11. 2. Overview of Emotion Description and Recognition (3/4)
  12. 2. Overview of Emotion Description and Recognition (4/4)
  13. 3. Music Features (1/4)
  14. 3. Music Features (2/4)
  15. 3. Music Features (3/4)
  16. 3. Music Features (4/4)
  17. 4. Dimensional MER by Regression (1/6)
  18. 4. Dimensional MER by Regression (2/6)
  19. 4. Dimensional MER by Regression (3/6)
  20. 4. Dimensional MER by Regression (4/6)
  21. 4. Dimensional MER by Regression (5/6)
  22. 4. Dimensional MER by Regression (6/6)
  23. 5. Ranking-Based Emotion Annotation and Model Training (1/6)
  24. 5. Ranking-Based Emotion Annotation and Model Training (2/6)
  25. 5. Ranking-Based Emotion Annotation and Model Training (3/6)
  26. 5. Ranking-Based Emotion Annotation and Model Training (4/6)
  27. 5. Ranking-Based Emotion Annotation and Model Training (5/6)
  28. 5. Ranking-Based Emotion Annotation and Model Training (6/6)
  29. 6. Fuzzy Classification of Music Emotion (1/3)
  30. 6. Fuzzy Classification of Music Emotion (2/3)
  31. 6. Fuzzy Classification of Music Emotion (3/3)
  32. 7. Personalized MER and Groupwise MER (1/4)
  33. 7. Personalized MER and Groupwise MER (2/4)
  34. 7. Personalized MER and Groupwise MER (3/4)
  35. 7. Personalized MER and Groupwise MER (4/4)
  36. 8. Two-Layer Personalization (1/2)
  37. 8. Two-Layer Personalization (2/2)
  38. 9. Probability Music Emotion Distribution Prediction (1/6)
  39. 9. Probability Music Emotion Distribution Prediction (2/6)
  40. 9. Probability Music Emotion Distribution Prediction (3/6)
  41. 9. Probability Music Emotion Distribution Prediction (4/6)
  42. 9. Probability Music Emotion Distribution Prediction (5/6)
  43. 9. Probability Music Emotion Distribution Prediction (6/6)
  44. 10. Lyrics Analysis and Its Application to MER (1/3)
  45. 10. Lyrics Analysis and Its Application to MER (2/3)
  46. 10. Lyrics Analysis and Its Application to MER (3/3)
  47. 11. Chord Recognition and Its Application to MER (1/2)
  48. 11. Chord Recognition and Its Application to MER (2/2)
  49. 12. Genre Classification and Its Application to MER (1/2)
  50. 12. Genre Classification and Its Application to MER (2/2)
  51. 13. Music Retrieval inthe Emotion Plane (1/2)
  52. 13. Music Retrieval inthe Emotion Plane (2/2)
  53. 14. Future ResearchDirections (1/2)
  54. 14. Future ResearchDirections (2/2)
  55. References (1/4)
  56. References (2/4)
  57. References (3/4)
  58. References (4/4)
  59. Back Cover