Speech Recognition and Understanding
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Speech Recognition and Understanding

Speech Recognition and Understanding


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About the Book

This book entitled, Introduction to Speech and Language Therapy, has been designed to add to the knowledge of researchers, scholars and the students of second language learners to enlighten them with various aspects of the speech, the language and the methods and techniques of its acquisition. It takes the readers through an overview of speech and language therapy and how these concepts assist the children and the adults in gaining the intricate nuances of the language. It also talks about the role and technique of speech and language proper and its assessment in the teaching of second language. Additionally, the book sheds light on the linguistic theories of speech, the teaching of language for children and the techniques of vocabulary development.

Table of Contents:
Section 1: Methods and Approaches for Speech Recognition Chapter 1 Artificial Intelligence for Speech Recognition Based on Neural Networks Chapter 2 An HMM-Like Dynamic Time Warping Scheme for Automatic Speech Recognition Chapter 3 Direct Recovery of Clean Speech Using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System Chapter 4 Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition Chapter 5 A Fast Learning Method for Multilayer Perceptrons in Automatic Speech Recognition Systems Section 2: Speech Recognition for Different Languages Chapter 6 Development of Application Specific Continuous Speech Recognition System in Hindi Chapter 7 Multitask Learning with Local Attention for Tibetan Speech Recognition Chapter 8 Arabic Speech Recognition System Based on MFCC and HMMs Chapter 9 Using Morphological Data in Language Modeling for Serbian Large Vocabulary Speech Recognition Chapter 10 Phoneme Sequence Modeling in the Context of Speech Signal Recognition in Language “Baoule” Section 3: Applications with Speech Recognition Chapter 11 An Overview of Basics Speech Recognition and Autonomous Approach for Smart Home IOT Low Power Devices Chapter 12 BigEar: Ubiquitous Wireless Low-Budget Speech Capturing Interface Chapter 13 Using Speech Recognition in Learning Primary School Mathematics via Explain, Instruct and Facilitate Techniques Chapter 14 A Prototype of a Semantic Platform with a Speech Recognition System for Visual Impaired People Section 4: Language Understanding Technology Chapter 15 English Sentence Recognition Based on HMM and Clustering Chapter 16 A Comparative Study to Understanding about Poetics Based on Natural Language Processing Chapter 17 Semi-Supervised Learning of Statistical Models for Natural Language Understanding Chapter 18 Linguistic Factors Influencing Speech Audiometric Assessment


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Product Details
  • ISBN-13: 9781774691847
  • Publisher: Arcler Press
  • Publisher Imprint: Arcler Press
  • Height: 229 mm
  • No of Pages: 425
  • Weight: 913 gr
  • ISBN-10: 1774691841
  • Publisher Date: 30 Dec 2021
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Width: 152 mm


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