Music emotion recognition (MER) is the process of automatically identifying the emotional content of a piece of music using computational techniques. It combines elements from music theory, signal processing, and machine learning to map audio features to emotional labels, enhancing applications in music recommendation and therapy.

Music Emotion Recognition

Emotional content of music

Computational techniques in music

Music theory is the study of the practices and possibilities of music, providing a framework for understanding the structure and elements of music. It encompasses the analysis of musical elements such as melody, harmony, rhythm, and form, helping musicians to compose, interpret, and appreciate music more deeply.

Music Theory

Signal processing involves the analysis, manipulation, and synthesis of signals such as sound, images, and scientific measurements to improve transmission, storage, and quality. It is fundamental in various applications, including telecommunications, audio engineering, and biomedical engineering, where it enhances signal clarity and extracts useful information.

Signal Processing

Machine learning in music

Audio Features

Emotional labels

Music recommendation

Music therapy is an evidence-based clinical practice that uses music interventions to achieve specific therapeutic goals and improve mental, emotional, and physical health. It is facilitated by a trained music therapist who tailors sessions to meet individual needs, employing techniques such as listening, creating, and performing music.

Concepts

Relevant Degrees

Your Lessons