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Exploring Music Contents

Overview of attention for book
Cover of 'Exploring Music Contents'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Probabilistic and Logic-Based Modelling of Harmony
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    Chapter 2 Interactive Music Applications and Standards
  4. Altmetric Badge
    Chapter 3 Interactive Music with Active Audio CDs
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    Chapter 4 Pitch Gestures in Generative Modeling of Music
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    Chapter 5 An Entropy Based Method for Local Time-Adaptation of the Spectrogram
  7. Altmetric Badge
    Chapter 6 Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC
  8. Altmetric Badge
    Chapter 7 Exploring Music Contents
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    Chapter 8 Notes on Nonnegative Tensor Factorization of the Spectrogram for Audio Source Separation: Statistical Insights and Towards Self-Clustering of the Spatial Cues
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    Chapter 9 What Signal Processing Can Do for the Music
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    Chapter 10 Speech/Music Discrimination in Audio Podcast Using Structural Segmentation and Timbre Recognition
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    Chapter 11 Computer Music Cloud
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    Chapter 12 Abstract Sounds and Their Applications in Audio and Perception Research
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    Chapter 13 Pattern Induction and Matching in Music Signals
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    Chapter 14 Unsupervised Analysis and Generation of Audio Percussion Sequences
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    Chapter 15 Identifying Attack Articulations in Classical Guitar
  17. Altmetric Badge
    Chapter 16 Comparing Approaches to the Similarity of Musical Chord Sequences
  18. Altmetric Badge
    Chapter 17 Songs2See and GlobalMusic2One: Two Applied Research Projects in Music Information Retrieval at Fraunhofer IDMT
  19. Altmetric Badge
    Chapter 18 MusicGalaxy: A Multi-focus Zoomable Interface for Multi-facet Exploration of Music Collections
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    Chapter 19 A Database Approach to Symbolic Music Content Management
  21. Altmetric Badge
    Chapter 20 Error-Tolerant Content-Based Music-Retrieval with Mathematical Morphology
  22. Altmetric Badge
    Chapter 21 Melodic Similarity through Shape Similarity
  23. Altmetric Badge
    Chapter 22 Content-Based Music Discovery
Attention for Chapter 21: Melodic Similarity through Shape Similarity
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1 X user

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Chapter title
Melodic Similarity through Shape Similarity
Chapter number 21
Book title
Exploring Music Contents
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-23126-1_21
Book ISBNs
978-3-64-223125-4, 978-3-64-223126-1
Authors

Julián Urbano, Juan Lloréns, Jorge Morato, Sonia Sánchez-Cuadrado, Urbano, Julián, Lloréns, Juan, Morato, Jorge, Sánchez-Cuadrado, Sonia

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Greece 1 3%
France 1 3%
Brazil 1 3%
Unknown 30 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Student > Ph. D. Student 6 18%
Researcher 5 15%
Professor 4 12%
Student > Bachelor 3 9%
Other 5 15%
Unknown 4 12%
Readers by discipline Count As %
Computer Science 16 47%
Engineering 5 15%
Arts and Humanities 5 15%
Psychology 2 6%
Social Sciences 1 3%
Other 1 3%
Unknown 4 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 September 2011.
All research outputs
#15,234,609
of 22,651,245 outputs
Outputs from Lecture notes in computer science
#4,644
of 8,122 outputs
Outputs of similar age
#140,016
of 180,239 outputs
Outputs of similar age from Lecture notes in computer science
#149
of 318 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 180,239 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.