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Speech and Language Processing for Human-Machine Communications

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Cover of 'Speech and Language Processing for Human-Machine Communications'

Table of Contents

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    Book Overview
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    Chapter 1 AC: An Audio Classifier to Classify Violent Extensive Audios
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    Chapter 2 Document-to-Sentence Level Technique for Novelty Detection
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    Chapter 3 Continuous Hindi Speech Recognition in Real Time Using NI LabVIEW
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    Chapter 4 Gujarati Braille Text Recognition: A Design Approach
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    Chapter 5 Development of Embedded Platform for Sanskrit Grammar-Based Document Summarization
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    Chapter 6 Approach for Information Retrieval by Using Self-Organizing Map and Crisp Set
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    Chapter 7 An Automatic Spontaneous Speech Recognition System for Punjabi Language
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    Chapter 8 A System for the Conversion of Digital Gujarati Text-to-Speech for Visually Impaired People
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    Chapter 9 Hidden Markov Model for Speech Recognition System—A Pilot Study and a Naive Approach for Speech-To-Text Model
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    Chapter 10 Speaker-Independent Recognition System for Continuous Hindi Speech Using Probabilistic Model
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    Chapter 11 A Robust Technique for Handwritten Words Segmentation into Individual Characters
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    Chapter 12 Developing Speech-Based Web Browsers for Visually Impaired Users
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    Chapter 13 Adaptive Infrared Images Enhancement Using Fuzzy-Based Concepts
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    Chapter 14 Toward Machine Translation Linguistic Issues of Indian Sign Language
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    Chapter 15 Analysis of Emotion Recognition System for Telugu Using Prosodic and Formant Features
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    Chapter 16 Simple Term Filtering for Location-Based Tweets Classification
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    Chapter 17 Security Analysis of Scalable Speech Coders
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    Chapter 18 Issues in i-Vector Modeling: An Analysis of Total Variability Space and UBM Size
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    Chapter 19 Acoustic Representation of Monophthongs with Special Reference to Bodo Language
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    Chapter 20 Detection of Human Emotion from Speech—Tools and Techniques
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    Chapter 21 Phonetic Transcription Comparison for Emotional Database for Speech Synthesis
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    Chapter 22 The State of the Art of Feature Extraction Techniques in Speech Recognition
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    Chapter 23 Challenges and Issues in Adopting Speech Recognition
Overall attention for this book and its chapters
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14 Mendeley
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Title
Speech and Language Processing for Human-Machine Communications
Published by
Springer Singapore, November 2017
DOI 10.1007/978-981-10-6626-9
ISBNs
978-9-81-106625-2, 978-9-81-106626-9
Editors

Agrawal, S. S., Devi, Amita, Wason, Ritika, Bansal, Poonam

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Student > Ph. D. Student 3 21%
Researcher 3 21%
Professor 1 7%
Unknown 2 14%
Readers by discipline Count As %
Computer Science 7 50%
Linguistics 2 14%
Engineering 2 14%
Unknown 3 21%