Speech Recognition and Understanding

Erscheinungsjahr 2021
ISBN: 978-1-77469-184-7
Verlag: Arcler Press

Buch, Englisch, 425 Seiten, Hardback, Format (B × H): 152 mm x 229 mm

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.

Autoren/Hrsg.

Gacovski, Zoran

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

- 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

Über Autor(innen)

Dr. Zoran Gacovski has earned his PhD degree at Faculty of Electrical engineering, Skopje. His research interests include Intelligent systems and Software engineering, fuzzy systems, graphical models (Petri, Neural and Bayesian networks), and IT security. He has published over 50 journal and conference papers, and he has been reviewer of renowned Journals. Currently, he is a professor in Computer Engineering at European University, Skopje, Macedonia.