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Advances in Speech and Music Technology

Overview of attention for book
Cover of 'Advances in Speech and Music Technology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Comprehensive Review on Speaker Recognition
  3. Altmetric Badge
    Chapter 2 Music Composition with Deep Learning: A Review
  4. Altmetric Badge
    Chapter 3 Music Recommendation Systems: Overview and Challenges
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    Chapter 4 Music Recommender Systems: A Review Centered on Biases
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    Chapter 5 Computational Approaches for Indian Classical Music: A Comprehensive Review
  7. Altmetric Badge
    Chapter 6 A Study on Effectiveness of Deep Neural Networks for Speech Signal Enhancement in Comparison with Wiener Filtering Technique
  8. Altmetric Badge
    Chapter 7 Video Soundtrack Evaluation with Machine Learning: Data Availability, Feature Extraction, and Classification
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    Chapter 8 Deep Learning Approach to Joint Identification of Instrument Pitch and Raga for Indian Classical Music
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    Chapter 9 Comparison of Convolutional Neural Networks and K-Nearest Neighbors for Music Instrument Recognition
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    Chapter 10 Emotion Recognition in Music Using Deep Neural Networks
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    Chapter 11 Music to Ears in Hearing Impaired: Signal Processing Advancements in Hearing Amplification Devices
  13. Altmetric Badge
    Chapter 12 Music Therapy: A Best Way to Solve Anxiety and Depression in Diabetes Mellitus Patients
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    Chapter 13 Music and Stress During COVID-19 Lockdown: Influence of Locus of Control and Coping Styles on Musical Preferences
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    Chapter 14 Biophysics of Brain Plasticity and Its Correlation to Music Learning
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    Chapter 15 Analyzing Emotional Speech and Text: A Special Focus on Bengali Language
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    Chapter 16 Duplicate Detection for for Digital Audio Archive Management: Two Case Studies
  18. Altmetric Badge
    Chapter 17 How a Song’s Section Order Affects Both ‘Refrein’ Perception and the Song’s Perceived Meaning
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    Chapter 18 Musical Influence on Visual Aesthetics: An Exploration on Intermediality from Psychological, Semiotic, and Fractal Approach
  20. Altmetric Badge
    Chapter 19 Influence of Musical Acoustics on Graphic Design: An Exploration with Indian Classical Music Album Cover Design
  21. Altmetric Badge
    Chapter 20 A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
  22. Altmetric Badge
    Chapter 21 Inharmonic Frequency Analysis of Tabla Strokes in North Indian Classical Music
Attention for Chapter 2: Music Composition with Deep Learning: A Review
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
139 Mendeley
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Chapter title
Music Composition with Deep Learning: A Review
Chapter number 2
Book title
Advances in Speech and Music Technology
Published in
Signals and Communication Technology, January 2023
DOI 10.1007/978-3-031-18444-4_2
Book ISBNs
978-3-03-118443-7, 978-3-03-118444-4
Authors

Hernandez-Olivan, Carlos, Beltrán, José R.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 139 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 9%
Student > Ph. D. Student 11 8%
Student > Bachelor 10 7%
Student > Master 8 6%
Other 4 3%
Other 13 9%
Unknown 80 58%
Readers by discipline Count As %
Computer Science 33 24%
Engineering 5 4%
Arts and Humanities 4 3%
Unspecified 3 2%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 10 7%
Unknown 82 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 18 December 2023.
All research outputs
#1,143,007
of 25,992,468 outputs
Outputs from Signals and Communication Technology
#1
of 1 outputs
Outputs of similar age
#24,835
of 482,636 outputs
Outputs of similar age from Signals and Communication Technology
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.1. This one scored the same or higher as 0 of them.
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 482,636 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 94% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them