Speech and Language Processing for Human-Machine Communications: Proceedings of CSI 2015 Front Cover

Speech and Language Processing for Human-Machine Communications: Proceedings of CSI 2015

  • Length: 215 pages
  • Edition: 1st ed. 2018
  • Publisher:
  • Publication Date: 2017-12-21
  • ISBN-10: 9811066256
  • ISBN-13: 9789811066252
Description

This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Speech and Language Processing for Human-Machine Communications. The contents of this book will be useful to researchers and students alike.

Table of Contents

Chapter 1 Ac: An Audio Classifier To Classify Violent Extensive Audios
Chapter 2 Document-To-Sentence Level Technique For Novelty Detection
Chapter 3 Continuous Hindi Speech Recognition In Real Time Using Ni Labview
Chapter 4 Gujarati Braille Text Recognition: A Design Approach
Chapter 5 Development Of Embedded Platform For Sanskrit Grammar-Based Document Summarization
Chapter 6 Approach For Information Retrieval By Using Self-Organizing Map And Crisp Set
Chapter 7 An Automatic Spontaneous Speech Recognition System For Punjabi Language
Chapter 8 A System For The Conversion Of Digital Gujarati Text-To-Speech For Visually Impaired People
Chapter 9 Hidden Markov Model For Speech Recognition System—A Pilot Study And A Naive Approach For Speech-To-Text Model
Chapter 10 Speaker-Independent Recognition System For Continuous Hindi Speech Using Probabilistic Model
Chapter 11 A Robust Technique For Handwritten Words Segmentation Into Individual Characters
Chapter 12 Developing Speech-Based Web Browsers For Visually Impaired Users
Chapter 13 Adaptive Infrared Images Enhancement Using Fuzzy-Based Concepts
Chapter 14 Toward Machine Translation Linguistic Issues Of Indian Sign Language
Chapter 15 Analysis Of Emotion Recognition System For Telugu Using Prosodic And Formant Features
Chapter 16 Simple Term Filtering For Location-Based Tweets Classification
Chapter 17 Security Analysis Of Scalable Speech Coders
Chapter 18 Issues In I-Vector Modeling: An Analysis Of Total Variability Space And Ubm Size
Chapter 19 Acoustic Representation Of Monophthongs With Special Reference To Bodo Language
Chapter 20 Detection Of Human Emotion From Speech—Tools And Techniques
Chapter 21 Phonetic Transcription Comparison For Emotional Database For Speech Synthesis
Chapter 22 The State Of The Art Of Feature Extraction Techniques In Speech Recognition
Chapter 23 Challenges And Issues In Adopting Speech Recognition

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