↓ Skip to main content

Computational Models of Speech Pattern Processing

Overview of attention for book
Cover of 'Computational Models of Speech Pattern Processing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Speech Pattern Processing
  3. Altmetric Badge
    Chapter 2 Psycho-acoustics and Speech Perception
  4. Altmetric Badge
    Chapter 3 Acoustic Modelling for Large Vocabulary Continuous Speech Recognition
  5. Altmetric Badge
    Chapter 4 Tree-based Dependence Models for Speech Recognition
  6. Altmetric Badge
    Chapter 5 Connectionist and Hybrid Models for Automatic Speech Recognition
  7. Altmetric Badge
    Chapter 6 Computational Models for Auditory Speech Processing
  8. Altmetric Badge
    Chapter 7 Speaker Adaptation of CDHMMs Using Bayesian Learning
  9. Altmetric Badge
    Chapter 8 Discriminative Improvement of the Representation Space for Continuous Speech Recognition
  10. Altmetric Badge
    Chapter 9 Dealing with Loss of Synchronism in Multi-Band Continuous Speech Recognition Systems
  11. Altmetric Badge
    Chapter 10 K-Nearest Neighbours Estimator in a HMM-Based Recognition System
  12. Altmetric Badge
    Chapter 11 Robust Speech Recognition
  13. Altmetric Badge
    Chapter 12 Channel Adaptation
  14. Altmetric Badge
    Chapter 13 Speaker Characterization, Speaker Adaptation and Voice Conversion
  15. Altmetric Badge
    Chapter 14 Speaker Recognition
  16. Altmetric Badge
    Chapter 15 Application of Acoustic Discriminative Training in an Ergodic HMM for Speaker Identification
  17. Altmetric Badge
    Chapter 16 Comparison of Several Compensation Techniques for Robust Speaker Verification
  18. Altmetric Badge
    Chapter 17 Segmental Acoustic Modeling for Speech Recognition
  19. Altmetric Badge
    Chapter 18 Trajectory Representations and Acoustic Descriptions for a Segment-Modelling Approach to Automatic Speech Recognition
  20. Altmetric Badge
    Chapter 19 Suprasegmental Modelling
  21. Altmetric Badge
    Chapter 20 Computational Models for Speech Production
  22. Altmetric Badge
    Chapter 21 Articulatory Features and Associated Production Models Statistical Speech Recognition
  23. Altmetric Badge
    Chapter 22 Talker Normalization with Articulatory Analysis-by-Synthesis
  24. Altmetric Badge
    Chapter 23 The Psycholinguistics of Spoken Word Recognition
  25. Altmetric Badge
    Chapter 24 Issues in Using Models for Self Evaluation and Correction of Speech
  26. Altmetric Badge
    Chapter 25 The Use of the Maximum Likelihood Criterion in Language Modelling
  27. Altmetric Badge
    Chapter 26 Language Model Adaptation
  28. Altmetric Badge
    Chapter 27 Using Natural-Language Knowledge Sources in Speech Recognition
  29. Altmetric Badge
    Chapter 28 How May I Help You?
  30. Altmetric Badge
    Chapter 29 Introduction of Rules into a Stochastic Approach for Language Modelling
  31. Altmetric Badge
    Chapter 30 History Integration into Semantic Classification
  32. Altmetric Badge
    Chapter 31 Multilingual Speech Recognition
  33. Altmetric Badge
    Chapter 32 Toward ALISP: A proposal for Automatic Language Independent Speech Processing
  34. Altmetric Badge
    Chapter 33 Interactive Translation of Conversational Speech
  35. Altmetric Badge
    Chapter 34 Multimodal Speech Systems
  36. Altmetric Badge
    Chapter 35 Multimodal Interfaces for Multimedia Information Agents
Attention for Chapter 20: Computational Models for Speech Production
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
16 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Computational Models for Speech Production
Chapter number 20
Book title
Computational Models of Speech Pattern Processing
Published by
Springer, Berlin, Heidelberg, January 1999
DOI 10.1007/978-3-642-60087-6_20
Book ISBNs
978-3-64-264250-0, 978-3-64-260087-6
Authors

Li Deng, Deng, Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Sweden 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Master 4 25%
Student > Doctoral Student 2 13%
Student > Bachelor 1 6%
Researcher 1 6%
Other 0 0%
Unknown 4 25%
Readers by discipline Count As %
Engineering 4 25%
Computer Science 3 19%
Linguistics 2 13%
Psychology 1 6%
Neuroscience 1 6%
Other 1 6%
Unknown 4 25%