Overview

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.

Full Product Details

Author:   Zbigniew W. Ras ,  Alicja Wieczorkowska
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2010 ed.
Volume:   274
Dimensions:   Width: 15.50cm , Height: 2.80cm , Length: 23.50cm
Weight:   0.877kg
ISBN:  

9783642116735

ISBN 10:   3642116736
Pages:   420
Publication Date:   28 February 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

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.

Reviews

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)

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)

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