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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
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    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
  14. Altmetric Badge
    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
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    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
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    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 14: Unsupervised Analysis and Generation of Audio Percussion Sequences
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 Mendeley
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Chapter title
Unsupervised Analysis and Generation of Audio Percussion Sequences
Chapter number 14
Book title
Exploring Music Contents
Published in
Lecture notes in computer science, June 2010
DOI 10.1007/978-3-642-23126-1_14
Book ISBNs
978-3-64-223125-4, 978-3-64-223126-1
Authors

Marco Marchini, Hendrik Purwins

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 14%
Slovakia 1 14%
Unknown 5 71%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Student > Ph. D. Student 2 29%
Student > Doctoral Student 1 14%
Researcher 1 14%
Professor > Associate Professor 1 14%
Other 0 0%
Readers by discipline Count As %
Computer Science 6 86%
Arts and Humanities 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 March 2020.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Lecture notes in computer science
#2,485
of 8,124 outputs
Outputs of similar age
#33,519
of 94,078 outputs
Outputs of similar age from Lecture notes in computer science
#9
of 48 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 94,078 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.