Speech Recognition and Understanding

ISBN-13: 9781774691847 / Angielski / Twarda / 2021 / 425 str.

Zoran Gacovski

Spis treści

• 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