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Sound, Music, and Motion

Overview of attention for book
Cover of 'Sound, Music, and Motion'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Investigation of the Harpist/Harp Interaction
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    Chapter 2 Sonically Augmented Artifacts: Design Methodology Through Participatory Workshops
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    Chapter 3 Vibrotactile Feedback for an Open Air Music Controller
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    Chapter 4 Automatic Classification of Guitar Playing Modes
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    Chapter 5 Extracting Commands from Gestures: Gesture Spotting and Recognition for Real-Time Music Performance
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    Chapter 6 Making Explicit the Formalism Underlying Evaluation in Music Information Retrieval Research: A Look at the MIREX Automatic Mood Classification Task
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    Chapter 7 On the Perception of Affect in the Singing Voice: A Study of Acoustic Cues
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    Chapter 8 Novel Methods in Facilitating Audience and Performer Interaction Using the Mood Conductor Framework
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    Chapter 9 Making Data Sing: Embodied Approaches to Sonification
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    Chapter 10 Seismic Sound Lab: Sights, Sounds and Perception of the Earth as an Acoustic Space
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    Chapter 11 Music with Unconventional Computing: A System for Physarum Polycephalum Sound Synthesis
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    Chapter 12 Intensity Shaping in Sustained Notes Encodes Metrical Cues for Synchronization in Ensemble Performance
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    Chapter 13 Moving with Beats and Loops: The Structure of Auditory Events and Sensorimotor Timing
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    Chapter 14 Learning Movement Kinematics with a Targeted Sound
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    Chapter 15 Audio-Motor Synchronization: The Effect of Mapping Between Kinematics and Acoustic Cues on Geometric Motor Features
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    Chapter 16 Movement Sonification for the Diagnosis and the Rehabilitation of Graphomotor Disorders
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    Chapter 17 MidiFind: Similarity Search and Popularity Mining in Large MIDI Databases
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    Chapter 18 Finding Repeated Patterns in Music: State of Knowledge, Challenges, Perspectives
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    Chapter 19 Fragmentations with Pitch, Rhythm and Parallelism Constraints for Variation Matching
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    Chapter 20 Predicting Agreement and Disagreement in the Perception of Tempo
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    Chapter 21 Music: Ars Bene Movandi
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    Chapter 22 A Virtual Reality Platform for Musical Creation: GENESIS-RT
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    Chapter 23 Interactive Sound Texture Synthesis Through Semi-Automatic User Annotations
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    Chapter 24 Intonaspacio: A Digital Musical Instrument for Exploring Site-Specificities in Sound
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    Chapter 25 The Large Time-Frequency Analysis Toolbox 2.0
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    Chapter 26 Sparse Gabor Multiplier Estimation for Identification of Sound Objects in Texture Sound
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    Chapter 27 Waveform-Aligned Adaptive Windows for Spectral Component Tracking and Noise Rejection
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    Chapter 28 Sound and Gesture
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    Chapter 29 Changing the Interval Content of Algorithmically Generated Music Changes the Emotional Interpretation of Visual Images
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    Chapter 30 The Perception of Sound Movements as Expressive Gestures
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    Chapter 31 Musical Sonification of Avatar Physiologies, Virtual Flight and Gesture
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    Chapter 32 Understanding Coarticulation in Musical Experience
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    Chapter 33 Symbolic Segmentation: A Corpus-Based Analysis of Melodic Phrases
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    Chapter 34 Non-Verbal Imitations as a Sketching Tool for Sound Design
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    Chapter 35 Influence of Rehearsal in an Auditory Memory Model for Audio Feature Estimation
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    Chapter 36 Cognitive Similarity Grounded by Tree Distance from the Analysis of K.265/300e
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    Chapter 37 Group Delay Function from All-Pole Models for Musical Instrument Recognition
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    Chapter 38 A Multiple-Expert Framework for Instrument Recognition
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    Chapter 39 Syncopation as Transformation
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    Chapter 40 Cent Filter-Banks and its Relevance to Identifying the Main Song in Carnatic Music
Attention for Chapter 17: MidiFind: Similarity Search and Popularity Mining in Large MIDI Databases
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Chapter title
MidiFind: Similarity Search and Popularity Mining in Large MIDI Databases
Chapter number 17
Book title
Sound, Music, and Motion
Published in
Lecture notes in computer science, December 2014
DOI 10.1007/978-3-319-12976-1_17
Book ISBNs
978-3-31-912975-4, 978-3-31-912976-1
Authors

Xia, Guangyu, Huang, Tongbo, Ma, Yifei, Dannenberg, Roger, Faloutsos, Christos, Guangyu Xia, Tongbo Huang, Yifei Ma, Roger Dannenberg, Christos Faloutsos

Editors

Aramaki, Mitsuko, Derrien, Olivier, Kronland-Martinet, Richard, Ystad, Sølvi

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Lecturer 1 13%
Student > Ph. D. Student 1 13%
Professor 1 13%
Researcher 1 13%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 5 63%
Arts and Humanities 1 13%
Engineering 1 13%
Unknown 1 13%
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 20 March 2019.
All research outputs
#15,361,255
of 22,851,489 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,126 outputs
Outputs of similar age
#213,449
of 360,143 outputs
Outputs of similar age from Lecture notes in computer science
#205
of 310 outputs
Altmetric has tracked 22,851,489 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 8,126 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 360,143 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 310 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.