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From Sounds to Music and Emotions

Overview of attention for book
Cover of 'From Sounds to Music and Emotions'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Six Emotion-Face Clock as a Tool for Continuously Rating Discrete Emotional Responses to Music
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    Chapter 2 Emotion in Motion: A Study of Music and Affective Response
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    Chapter 3 Psychophysiological Measures of Emotional Response to Romantic Orchestral Music and Their Musical and Acoustic Correlates
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    Chapter 4 Two-Dimensional Hybrid Spatial Audio Systems with User Variable Controls of Sound Source Attributes
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    Chapter 5 Perceptual Characteristic and Compression Research in 3D Audio Technology
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    Chapter 6 Intuitive Control of Rolling Sound Synthesis
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    Chapter 7 EarGram: An Application for Interactive Exploration of Concatenative Sound Synthesis in Pure Data
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    Chapter 8 Reenacting Sensorimotor Features of Drawing Movements from Friction Sounds
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    Chapter 9 Auditory Sketches: Sparse Representations of Sounds Based on Perceptual Models
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    Chapter 10 The Role of Time in Music Emotion Recognition: Modeling Musical Emotions from Time-Varying Music Features
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    Chapter 11 The Intervalgram: An Audio Feature for Large-Scale Cover-Song Recognition
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    Chapter 12 Perceptual Dimensions of Short Audio Clips and Corresponding Timbre Features
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    Chapter 13 Music Emotion Recognition: From Content- to Context-Based Models
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    Chapter 14 Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons
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    Chapter 15 Analyzing the Perceptual Salience of Audio Features for Musical Emotion Recognition
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    Chapter 16 Sample Identification in Hip Hop Music
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    Chapter 17 Music Similarity Evaluation Using the Variogram for MFCC Modelling
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    Chapter 18 Automatic String Detection for Bass Guitar and Electric Guitar
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    Chapter 19 Using Oracle Analysis for Decomposition-Based Automatic Music Transcription
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    Chapter 20 The Influence of Music on the Emotional Interpretation of Visual Contexts
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    Chapter 21 The Perception of Auditory-Visual Looming in Film
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    Chapter 22 Maximum a Posteriori Estimation of Piecewise Arcs in Tempo Time-Series
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    Chapter 23 Structural Similarity Based on Time-Span Tree
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    Chapter 24 Subject and Counter-Subject Detection for Analysis of the Well-Tempered Clavier Fugues
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    Chapter 25 Market-Based Control in Interactive Music Environments
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    Chapter 26 (Re)Shaping Musical Gesture: Modelling Voice Balance and Overall Dynamics Contour
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    Chapter 27 Multimodal Analysis of Piano Performances Portraying Different Emotions
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    Chapter 28 Focal Impulses and Expressive Performance
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    Chapter 29 Learning to Make Feelings: Expressive Performance as a Part of a Machine Learning Tool for Sound-Based Emotion Control
Attention for Chapter 14: Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
16 Mendeley
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Chapter title
Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons
Chapter number 14
Book title
From Sounds to Music and Emotions
Published in
Lecture notes in computer science, June 2012
DOI 10.1007/978-3-642-41248-6_14
Book ISBNs
978-3-64-241247-9, 978-3-64-241248-6
Authors

Jens Madsen, Bjørn Sand Jensen, Jan Larsen, Madsen, Jens, Jensen, Bjørn Sand, Larsen, Jan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Italy 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Student > Ph. D. Student 4 25%
Student > Master 2 13%
Student > Bachelor 1 6%
Professor 1 6%
Other 3 19%
Readers by discipline Count As %
Computer Science 10 63%
Engineering 3 19%
Medicine and Dentistry 1 6%
Arts and Humanities 1 6%
Unknown 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 06 December 2015.
All research outputs
#4,181,070
of 22,834,308 outputs
Outputs from Lecture notes in computer science
#989
of 8,127 outputs
Outputs of similar age
#28,672
of 164,641 outputs
Outputs of similar age from Lecture notes in computer science
#5
of 61 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 164,641 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.