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Advances in Speech and Music Technology

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Cover of 'Advances in Speech and Music Technology'

Table of Contents

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    Book Overview
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    Chapter 1 A Comprehensive Review on Speaker Recognition
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    Chapter 2 Music Composition with Deep Learning: A Review
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    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
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    Chapter 6 A Study on Effectiveness of Deep Neural Networks for Speech Signal Enhancement in Comparison with Wiener Filtering Technique
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    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
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    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
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    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
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    Chapter 19 Influence of Musical Acoustics on Graphic Design: An Exploration with Indian Classical Music Album Cover Design
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    Chapter 20 A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
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    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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Citations

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132 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 by
Springer, Cham, 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 10%
Student > Ph. D. Student 11 8%
Student > Bachelor 8 6%
Student > Master 8 6%
Student > Postgraduate 3 2%
Other 9 7%
Unknown 80 61%
Readers by discipline Count As %
Computer Science 33 25%
Engineering 3 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Arts and Humanities 2 2%
Mathematics 2 2%
Other 8 6%
Unknown 82 62%