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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
Attention for Chapter 3: Continuous Hindi Speech Recognition in Real Time Using NI LabVIEW
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Chapter title
Continuous Hindi Speech Recognition in Real Time Using NI LabVIEW
Chapter number 3
Book title
Speech and Language Processing for Human-Machine Communications
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-10-6626-9_3
Book ISBNs
978-9-81-106625-2, 978-9-81-106626-9
Authors

Ishita Bahal, Ankit Mishra, Shabana Urooj

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 67%
Lecturer 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Engineering 1 33%
Unknown 1 33%