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This book is indexed in
Computer and Information Science » Artificial Intelligence
Speech Recognition
Edited by France Mihelic and Janez Zibert, ISBN 978-953-7619-29-9, Hard cover, 550 pages, Publisher: InTech, Chapters published November 01, 2008 under CC BY-NC-SA 3.0 license
DOI: 10.5772/93
Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes.
- Chapter 1
A Family of Stereo-Based Stochastic Mapping Algorithms for Noisy Speech Recognition - Chapter 2
Histogram Equalization for Robust Speech Recognition - Chapter 3
Employment of Spectral Voicing Information for Speech and Speaker Recognition in Noisy Conditions - Chapter 4
Time-Frequency Masking: Linking Blind Source Separation and Robust Speech Recognition - Chapter 5
Dereverberation and Denoising Techniques for ASR Applications - Chapter 6
Feature Transformation Based on Generalization of Linear Discriminant Analysis - Chapter 7
Algorithms for Joint Evaluation of Multiple Speech Patterns for Automatic Speech Recognition - Chapter 8
Overcoming HMM Time and Parameter Independence Assumptions for ASR - Chapter 9
Practical Issues of Building Robust HMM Models Using HTK and SPHINX Systems - Chapter 10
Statistical Language Modeling for Automatic Speech Recognition of Agglutinative Languages - Chapter 11
Discovery of Words: towards a Computational Model of Language Acquisition - Chapter 12
Automatic Speech Recognition via N-Best Rescoring using Logistic Regression - Chapter 13
Knowledge Resources in Automatic Speech Recognition and Understanding for Romanian Language - Chapter 14
Construction of a Noise-Robust Body-Conducted Speech Recognition System - Chapter 15
Adaptive Decision Fusion for Audio-Visual Speech Recognition - Chapter 16
Multi-Stream Asynchrony Modeling for Audio Visual Speech Recognition - Chapter 17
Normalization and Transformation Techniques for Robust Speaker Recognition - Chapter 18
Speaker Vector-Based Speaker Recognition with Phonetic Modeling - Chapter 19
Novel Approaches to Speaker Clustering for Speaker Diarization in Audio Broadcast News Data - Chapter 20
Gender Classification in Emotional Speech - Chapter 21
Recognition of Paralinguistic Information using Prosodic Features Related to Intonation and Voice Quality - Chapter 22
Psychological Motivated Multi-Stage Emotion Classification Exploiting Voice Quality Features - Chapter 23
A Weighted Discrete KNN Method for Mandarin Speech and Emotion Recognition - Chapter 24
Motion-Tracking and Speech Recognition for Hands-Free Mouse-Pointer Manipulation - Chapter 25
Arabic Dialectical Speech Recognition in Mobile Communication Services - Chapter 26
Ultimate Trends in Integrated Systems to Enhance Automatic Speech Recognition Performance - Chapter 27
Speech Recognition for Smart Homes - Chapter 28
Silicon Technologies for Speaker Independent Speech Processing and Recognition Systems in Noisy Environments - Chapter 29
Voice Activated Appliances for Severely Disabled Persons - Chapter 30
System Request Utterance Detection Based on Acoustic and Linguistic Features
