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Speech Recognition
Edited by France Mihelic and Janez Zibert, ISBN 978-953-7619-29-9, Hard cover, 550 pages, Publisher: InTech, Published: November 01, 2008 under CC BY-NC-SA 3.0 license, in subject Artificial Intelligence
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.
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Book contents
- Chapter 1A Family of Stereo-Based Stochastic Mapping Algorithms for Noisy Speech Recognition
- Chapter 2Histogram Equalization for Robust Speech Recognition
- Chapter 3Employment of Spectral Voicing Information for Speech and Speaker Recognition in Noisy Conditions
- Chapter 4Time-Frequency Masking: Linking Blind Source Separation and Robust Speech Recognition
- Chapter 5Dereverberation and Denoising Techniques for ASR Applications
- Chapter 6Feature Transformation Based on Generalization of Linear Discriminant Analysis
- Chapter 7Algorithms for Joint Evaluation of Multiple Speech Patterns for Automatic Speech Recognition
- Chapter 8Overcoming HMM Time and Parameter Independence Assumptions for ASR
- Chapter 9Practical Issues of Building Robust HMM Models Using HTK and SPHINX Systems
- Chapter 10Statistical Language Modeling for Automatic Speech Recognition of Agglutinative Languages
- Chapter 11Discovery of Words: towards a Computational Model of Language Acquisition
- Chapter 12Automatic Speech Recognition via N-Best Rescoring using Logistic Regression
- Chapter 13Knowledge Resources in Automatic Speech Recognition and Understanding for Romanian Language
- Chapter 14Construction of a Noise-Robust Body-Conducted Speech Recognition System
- Chapter 15Adaptive Decision Fusion for Audio-Visual Speech Recognition
- Chapter 16Multi-Stream Asynchrony Modeling for Audio Visual Speech Recognition
- Chapter 17Normalization and Transformation Techniques for Robust Speaker Recognition
- Chapter 18Speaker Vector-Based Speaker Recognition with Phonetic Modeling
- Chapter 19Novel Approaches to Speaker Clustering for Speaker Diarization in Audio Broadcast News Data
- Chapter 20Gender Classification in Emotional Speech
- Chapter 21Recognition of Paralinguistic Information using Prosodic Features Related to Intonation and Voice Quality
- Chapter 22Psychological Motivated Multi-Stage Emotion Classification Exploiting Voice Quality Features
- Chapter 23A Weighted Discrete KNN Method for Mandarin Speech and Emotion Recognition
- Chapter 24Motion-Tracking and Speech Recognition for Hands-Free Mouse-Pointer Manipulation
- Chapter 25Arabic Dialectical Speech Recognition in Mobile Communication Services
- Chapter 26Ultimate Trends in Integrated Systems to Enhance Automatic Speech Recognition Performance
- Chapter 27Speech Recognition for Smart Homes
- Chapter 28Silicon Technologies for Speaker Independent Speech Processing and Recognition Systems in Noisy Environments
- Chapter 29Voice Activated Appliances for Severely Disabled Persons
- Chapter 30System Request Utterance Detection Based on Acoustic and Linguistic Features
