Speech and Language Processing for Human-Machine Communications

Abstract

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. AC: An Audio Classifier to Classify Violent Extensive Audios -- Document-to-Sentence Level Technique for Novelty Detection -- Continuous Hindi Speech Recognition in Real Time Using NI LabVIEW -- Gujarati Braille Text Recognition: A Design Approach -- Development of Embedded Platform for Sanskrit Grammar-Based Document Summarization -- Approach for Information Retrieval by Using Self Organizing Map and Crisp Set -- An Automatic Spontaneous Speech Recognition System for Punjabi Language -- A System for the Conversion of Digital Gujarati Text to Speech for Visually Impaired People -- Hidden Markov Model for Speech Recognition System- A Pilot Study and a Naive Approach for Speech-to-Text Model -- Speaker Independent Recognition System for Continuous Hindi Speech Using Probabilistic Model -- A Robust Technique for Handwritten Words Segmentation into Individual Characters -- Developing Speech-Based Web Browsers for Visually Impaired Users -- Adaptive Infrared Images Enhancement Using Fuzzy Based Concepts -- Towards Machine Translation Linguistic Issues of Indian Sign Language -- Analysis of Emotion Recognition System for Telugu Using Prosodic and Formant Features -- Simple Term Filtering for Location-Based Tweets Classification -- Security Analysis of Scalable Speech Coders -- Issues in i-vector modeling: An analysis of total variability space and UBM size -- Acoustic Representation of Monophthongs with Special Reference to Bodo Language -- Detection of Human Emotion from Speech -- Tools and Techniques -- Phonetic Transcription Comparison for Emotional Database for Speech Synthesis -- The State-of-the-Art of Feature Extraction Techniques in Speech Recognition -- Challenges and Issues in Adopting Speech Recognition.