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Single Trial P300 Classification Using Convolutional LSTM and Deep Learning Ensembles Method Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Chaos Analysis of Speech Imagery of IPA Vowels

Authors : Debdeep Sikdar, Rinku Roy, Manjunatha Mahadevappa

Published in: Intelligent Human Computer Interaction

Publisher: Springer International Publishing

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Abstract

In Brain Computer Interfacing (BCI), speech imagery is still at nascent stage of development. There are few studies reported considering mostly vowels or monosyllabic words. However, language specific vowels or words made it harder to standardise the whole analysis of electroencephalography (EEG) while distinguishing between them. Through this study, we have explored significance of chaos parameters for different imagined vowels chosen from International Phonetic Alphabets (IPA). The vowels were categorised into two categories, namely, soft vowels and diphthongs. Chaos analysis at EEG subband levels were evaluated. We have also reported significant contrasts between spatiotemporal distributions with chaos analysis for activation of different brain regions in imagining vowels.

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previous chapter Cumulative Impulse Strength Based Epoch Extraction from Singing Voice
next chapter Generation of GMM Weights by Dirichlet Distribution and Model Selection Using Information Criterion for Malayalam Speech Recognition
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Metadata
Title
Chaos Analysis of Speech Imagery of IPA Vowels
Authors
Debdeep Sikdar
Rinku Roy
Manjunatha Mahadevappa
Copyright Year
2018
Book
Intelligent Human Computer Interaction

Print ISBN: 978-3-030-04020-8

Electronic ISBN: 978-3-030-04021-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-04021-5_10