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Computational Analysis of Sound Scenes and Events

Overview of attention for book
Cover of 'Computational Analysis of Sound Scenes and Events'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Sound Scene and Event Analysis
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    Chapter 2 The Machine Learning Approach for Analysis of Sound Scenes and Events
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    Chapter 3 Acoustics and Psychoacoustics of Sound Scenes and Events
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    Chapter 4 Acoustic Features for Environmental Sound Analysis
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    Chapter 5 Statistical Methods for Scene and Event Classification
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    Chapter 6 Datasets and Evaluation
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    Chapter 7 Everyday Sound Categorization
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    Chapter 8 Approaches to Complex Sound Scene Analysis
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    Chapter 9 Multiview Approaches to Event Detection and Scene Analysis
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    Chapter 10 Sound Sharing and Retrieval
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    Chapter 11 Computational Bioacoustic Scene Analysis
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    Chapter 12 Audio Event Recognition in the Smart Home
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    Chapter 13 Sound Analysis in Smart Cities
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    Chapter 14 Future Perspective
Attention for Chapter 13: Sound Analysis in Smart Cities
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Chapter title
Sound Analysis in Smart Cities
Chapter number 13
Book title
Computational Analysis of Sound Scenes and Events
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-63450-0_13
Book ISBNs
978-3-31-963449-4, 978-3-31-963450-0
Authors

Juan Pablo Bello, Charlie Mydlarz, Justin Salamon, Bello, Juan Pablo, Mydlarz, Charlie, Salamon, Justin

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 15%
Student > Ph. D. Student 5 11%
Lecturer 3 6%
Professor > Associate Professor 3 6%
Student > Master 3 6%
Other 7 15%
Unknown 19 40%
Readers by discipline Count As %
Engineering 11 23%
Computer Science 10 21%
Agricultural and Biological Sciences 2 4%
Medicine and Dentistry 2 4%
Psychology 1 2%
Other 2 4%
Unknown 19 40%

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