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Advances in Music Information Retrieval

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Cover of 'Advances in Music Information Retrieval'

Table of Contents

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    Book Overview
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    Chapter 1 Indexing Techniques for Non-metric Music Dissimilarity Measures
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    Chapter 2 Clustering Driven Cascade Classifiers for Multi-indexing of Polyphonic Music by Instruments
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    Chapter 3 Representations of Music in Ranking Rhythmic Hypotheses
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    Chapter 4 Mid-level Representations of Musical Audio Signals for Music Information Retrieval
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    Chapter 5 Advances in Music Information Retrieval
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    Chapter 6 Chord Analysis Using Ensemble Constraints
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    Chapter 7 BREVE: An HMPerceptron-Based Chord Recognition System
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    Chapter 8 Analysis of Chord Progression Data
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    Chapter 9 Statistical Music Modeling Aimed at Identification and Alignment
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    Chapter 10 Harmonic and Percussive Sound Separation and Its Application to MIR-Related Tasks
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    Chapter 11 Violin Sound Quality: Expert Judgements and Objective Measurements
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    Chapter 12 Emotion Based MIDI Files Retrieval System
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    Chapter 13 On Search for Emotion in Hindusthani Vocal Music
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    Chapter 14 Audio Cover Song Identification and Similarity: Background, Approaches, Evaluation, and Beyond
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    Chapter 15 Multimodal Aspects of Music Retrieval: Audio, Song Lyrics – and Beyond?
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    Chapter 16 Melodic Grouping in Music Information Retrieval: New Methods and Applications
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    Chapter 17 Automatic Musical Genre Classification and Artificial Immune Recognition System
Attention for Chapter 4: Mid-level Representations of Musical Audio Signals for Music Information Retrieval
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Chapter title
Mid-level Representations of Musical Audio Signals for Music Information Retrieval
Chapter number 4
Book title
Advances in Music Information Retrieval
Published by
Springer, Berlin, Heidelberg, January 2010
DOI 10.1007/978-3-642-11674-2_4
Book ISBNs
978-3-64-211673-5, 978-3-64-211674-2

Tetsuro Kitahara

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Tunisia 1 11%
Canada 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 11%
Lecturer 1 11%
Student > Bachelor 1 11%
Student > Ph. D. Student 1 11%
Student > Master 1 11%
Other 2 22%
Unknown 2 22%
Readers by discipline Count As %
Arts and Humanities 2 22%
Computer Science 2 22%
Unspecified 1 11%
Earth and Planetary Sciences 1 11%
Engineering 1 11%
Other 0 0%
Unknown 2 22%