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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
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    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
Overall attention for this book and its chapters
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

1 news outlet
2 X users
1 Facebook page
2 Wikipedia pages


9 Dimensions

Readers on

49 Mendeley
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From Sounds to Music and Emotions
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-41248-6
978-3-64-241247-9, 978-3-64-241248-6

Ito, John Paul


Mitsuko Aramaki, Mathieu Barthet, Richard Kronland-Martinet, Sølvi Ystad

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Student > Bachelor 10 20%
Student > Master 9 18%
Researcher 5 10%
Professor 3 6%
Other 6 12%
Unknown 3 6%
Readers by discipline Count As %
Arts and Humanities 13 27%
Computer Science 9 18%
Psychology 9 18%
Engineering 7 14%
Social Sciences 3 6%
Other 4 8%
Unknown 4 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 19 August 2022.
All research outputs
of 23,130,383 outputs
Outputs from Lecture notes in computer science
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Outputs of similar age
of 282,760 outputs
Outputs of similar age from Lecture notes in computer science
of 316 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,147 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 94% 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 282,760 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 316 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.