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Language, Music and Computing

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Cover of 'Language, Music and Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Does the Y-Model for Language Work for Music?
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    Chapter 2 Is Generative Theory Misleading for Music Theory?
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    Chapter 3 Acoustic and Perceptual-Auditory Determinants of Transmission of Speech and Music Information (in Regard to Semiotics)
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    Chapter 4 Synchronization of Musical Acoustics and Articulatory Movements in Russian Classical Romance
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    Chapter 5 A Comparison Between Musical and Speech Rhythms: A Case Study of Standard Thai and Northern Thai
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    Chapter 6 Singer’s Performance Style in Numbers and Dynamic Curves: A Case Study of “Spring Waters” by Sergei Rachmaninoff
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    Chapter 7 Textual and Musical Invariants for Searching and Classification of Traditional Music
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    Chapter 8 Sound Symbolism of Contemporary Communication: Croatian Imitative Expressions in Computer-Mediated Discourse
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    Chapter 9 Slips of the Ear as Clues for Speech Processing
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    Chapter 10 Phrase Breaks in Everyday Conversations from Sociolinguistic Perspective
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    Chapter 11 Audible Paralinguistic Phenomena in Everyday Spoken Conversations: Evidence from the ORD Corpus Data
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    Chapter 12 Distributed Software Hardware Solution for Complex Network Sonification
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    Chapter 13 Automated Soundtrack Generation for Fiction Books Backed by Lövheim’s Cube Emotional Model
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    Chapter 14 Characteristics of Music Playback and Visio-Motor Interaction at Sight-Reading by Pianists Depending on the Specifics of a Musical Piece
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    Chapter 15 The Role of Truth-Values in Indirect Meanings
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    Chapter 16 Linguistic Approaches to Robotics: From Text Analysis to the Synthesis of Behavior
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    Chapter 17 Semantics and Syntax Tagging in Russian Child Corpus
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    Chapter 18 When Language Survived, Music Resurrected and Computer Died: To the Problem of Covert Ontologies in Language
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Title
Language, Music and Computing
Published by
Springer International Publishing, February 2019
DOI 10.1007/978-3-030-05594-3
ISBNs
978-3-03-005593-6, 978-3-03-005594-3
Editors

Eismont, Polina, Mitrenina, Olga, Pereltsvaig, Asya

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 36%
Student > Ph. D. Student 2 18%
Unspecified 2 18%
Student > Postgraduate 1 9%
Researcher 1 9%
Other 1 9%
Readers by discipline Count As %
Unspecified 3 27%
Arts and Humanities 2 18%
Linguistics 2 18%
Computer Science 2 18%
Business, Management and Accounting 1 9%
Other 1 9%