Speech Recognition
eBook - PDF

Speech Recognition

  1. 578 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Speech Recognition

About this book

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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Yes, you can access Speech Recognition by France Mihelic,Janez Zibert, France Mihelic, Janez Zibert in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

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