Advances in Music Information Retrieval
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.

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Advances in Music Information Retrieval
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.

169.99 In Stock
Advances in Music Information Retrieval

Advances in Music Information Retrieval

Advances in Music Information Retrieval

Advances in Music Information Retrieval

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.

Product Details

ISBN-13: 9783642116735
Publisher: Springer Berlin Heidelberg
Publication date: 02/12/2010
Series: Studies in Computational Intelligence , #274
Edition description: 2010
Pages: 420
Product dimensions: 6.00(w) x 9.20(h) x 1.20(d)

Table of Contents

Part I Music Information Retrieval: Indexing, Representations, and Platforms

Indexing Techniques for Non-metric Music Dissimilarity Measures Rainer Typke Agatha Walczak-Typke 3

Clustering Driven Cascade Classifiers for Multi-indexing of Polyphonic Music by Instruments Wenxin Jiang Zbigniew W. Ras Alicja A. Wieczorkowska 19

Representations of Music in Ranking Rhythmic Hypotheses Jaroslaw Wojcik Bozena Kostek 39

Mid-level Representations of Musical Audio Signals for Music Information Retrieval Tetsuro Kitahara 65

The Music Information Retrieval Evaluation eXchange: Some Observations and Insights J. Stephen Downie Andreas F. Ehmann Mert Bay M. Cameron Jones 93

Part II Harmony

Chord Analysis Using Ensemble Constraints David Gerhard Xinglin Zhang 119

BREVE: An HMPerceptron-Based Chord Recognition System Daniele P. Radicioni Roberto Esposito 143

Analysis of Chord Progression Data Brandt Absolu Tao Li Mitsunori Ogihara 165

Part III Content-Based Identification and Retrieval of Musical Information

Statistical Music Modeling Aimed at Identification and Alignment Riccardo Miotto Nicola Montecchio Nicola Orio 187

Harmonic and Percussive Sound Separation and Its Application to MIR-Related Tasks Nobutaka Ono Kenichi Miyamoto Hirokazu Kameoka Jonathan Le Roux Yuuki Uchiyama Emiru Tsunoo Takuya Nishimoto Shigeki Sagayama 213

Violin Sound Quality: Expert Judgements and Objective Measurements Piotr Wrzeciono Krzysztof Marasek 237

Emotion Based MIDI Files Retrieval System Jacek Grekow Zbigniew W. Ras 261

On Search for Emotion in Hindusthani Vocal Music Alicja A. Wieczorkowska Ashoke Kumar Datta Ranjan Sengupta Nityananda Dey Bhaswati Mukherjee 285

Part IV Music Similarity

Audio Cover Song Identification and Similarity: Background, Approaches, Evaluation, and Beyond Joan Serrà Emilia Gómez Perfecto Herrera 307

Multimodal Aspects of Music Retrieval: Audio, Song Lyrics - and Beyond? Rudolf Mayer Andreas Rauber 333

Melodic Grouping in Music Information Retrieval: New Methods and Applications Marcus T. Pearce Daniel Mullensiefen Geraint A. Wiggins 365

Automatic Musical Genre Classification and Artificial Immune Recognition System Shyamala Doraisamy Shahram Golzari 391

Author Index 405

Glossary 407

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