From the reviews: "Ras and Wieczorkowska have compiled a 17-paper book that gives readers a glimpse into some of the current research approaches ... . The 400-page book is structured into four parts. ... The book gathers the contributions of almost 50 authors. ... will provide readers who are interested in music information retrieval with a fair description of the state of the art of this economically important research domain." (P. Jouvelot, ACM Computing Reviews, December, 2010) "Music is both a science and an art. All of its different dimensions, whether melody, rhythm, timbre, mood, harmony, or counterpoint, are of interest to users of music information retrieval (MIR) systems. ... This book's aim is to popularize the research trends in the area of MIR. ... I strongly recommend this gem of a book for scientific libraries." (Soubhik Chakraborty, ACM Computing Reviews, March, 2011)

• 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.- Harmony.- Chord Analysis Using Ensemble Constraints.- BREVE: An HMPerceptron-Based Chord Recognition System.- Analysis of Chord Progression Data.- 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.- 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.

From the reviews: "Ras and Wieczorkowska have compiled a 17-paper book that gives readers a glimpse into some of the current research approaches ... . The 400-page book is structured into four parts. ... The book gathers the contributions of almost 50 authors. ... will provide readers who are interested in music information retrieval with a fair description of the state of the art of this economically important research domain." (P. Jouvelot, ACM Computing Reviews, December, 2010) "Music is both a science and an art. All of its different dimensions, whether melody, rhythm, timbre, mood, harmony, or counterpoint, are of interest to users of music information retrieval (MIR) systems. ... This book's aim is to popularize the research trends in the area of MIR. ... I strongly recommend this gem of a book for scientific libraries." (Soubhik Chakraborty, ACM Computing Reviews, March, 2011)

• 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.- Harmony.- Chord Analysis Using Ensemble Constraints.- BREVE: An HMPerceptron-Based Chord Recognition System.- Analysis of Chord Progression Data.- 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.- 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.

From the reviews: "Ras and Wieczorkowska have compiled a 17-paper book that gives readers a glimpse into some of the current research approaches ... . The 400-page book is structured into four parts. ... The book gathers the contributions of almost 50 authors. ... will provide readers who are interested in music information retrieval with a fair description of the state of the art of this economically important research domain." (P. Jouvelot, ACM Computing Reviews, December, 2010) "Music is both a science and an art. All of its different dimensions, whether melody, rhythm, timbre, mood, harmony, or counterpoint, are of interest to users of music information retrieval (MIR) systems. ... This book's aim is to popularize the research trends in the area of MIR. ... I strongly recommend this gem of a book for scientific libraries." (Soubhik Chakraborty, ACM Computing Reviews, March, 2011)

• 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.- Harmony.- Chord Analysis Using Ensemble Constraints.- BREVE: An HMPerceptron-Based Chord Recognition System.- Analysis of Chord Progression Data.- 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.- 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.