Raś Z.W., Wieczorkowska A.A. (eds.) Advances in Music Information Retrieval

Springer, 2010. — 423 p.Sound waves propagate through various media, and allow communication or entertainment for us, humans. Music we hear or create can be perceived in such aspects as rhythm, melody, harmony, timbre, or mood. All these elements of music can be of interest for users of music information retrieval systems. Since vast music repositories are available for everyone in everyday use (both in private collections, and in the Internet), it is desirable and becomes necessary to browse music collections by contents. Therefore, music information retrieval can be potentially of interest for every user of computers and the Internet. There is a lot of research performed in music information retrieval domain, and the outcomes, as well as trends in this research, are certainly worth popularizing. This idea motivated us to prepare the book on Advances in Music Information Retrieval.
It is divided into four sections: MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval. Glossary of basic terms is given at the end of the book, to familiarize readers with vocabulary referring to music information retrieval.Part I: Music Information Retrieval: Indexing, Representations, and Platforms
Indexing Techniques for Non-metric Music Dissimilarity Measures
Clustering Driven Cascade Classifiers for Multi-indexing of Polyphonic Music by Instruments
Representations of Music in Ranking Rhythmic Hypotheses
Mid-level Representations of Musical Audio Signals for Music Information Retrieval
The Music Information Retrieval Evaluation eXchange: Some Observations and Insights
Part II: Harmony
Chord Analysis Using Ensemble Constraints
BREVE: An HMPerceptron-Based Chord Recognition System
Analysis of Chord Progression Data
Part III: Content-Based Identification and Retrieval of Musical Information
Statistical Music Modeling Aimed at Identification and Alignment
Harmonic and Percussive Sound Separation and Its Application to MIR-Related Tasks
Violin Sound Quality: Expert Judgements and Objective Measurements
Emotion Based MIDI Files Retrieval System
On Search for Emotion in Hindusthani Vocal Music
Part IV: Music Similarity
Audio Cover Song Identification and Similarity: Background, Approaches, Evaluation, and Beyond
Multimodal Aspects of Music Retrieval: Audio, Song Lyrics – and Beyond?
Melodic Grouping in Music Information Retrieval: New Methods and Applications
Automatic Musical Genre Classification and Artificial Immune Recognition System