Pattern Recognition by Humans and Machines
Speech Perception
- 1st Edition - January 28, 1986
- Imprint: Academic Press
- Editors: Eileen C. Schwab, Howard C. Nusbaum
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 6 3 1 4 0 3 - 8
- Paperback ISBN:9 7 8 - 1 - 4 8 3 2 - 0 6 6 7 - 7
- eBook ISBN:9 7 8 - 1 - 4 8 3 2 - 2 0 1 0 - 9
Pattern Recognition by Humans and Machines, Volume 1: Speech Perception covers perception from the perspectives of cognitive psychology, artificial intelligence, and brain theory.… Read more
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Request a sales quotePattern Recognition by Humans and Machines, Volume 1: Speech Perception covers perception from the perspectives of cognitive psychology, artificial intelligence, and brain theory. The book discusses on the research, theory, and the principal issues of speech perception; the auditory and phonetic coding of speech; and the role of the lexicon in speech perception. The text also describes the role of attention and active processing in speech perception; the suprasegmental in very large vocabulary word recognition; and the adaptive self-organization of serial order in behavior. The cognitive science and the study of cognition and language are also considered. Psychologists will find the book invaluable.
Preface
Contents of Volume 2
1. Speech Perception: Research, Theory, and the Principal Issues
I. Introduction
II. The Principal Issues
III. Interaction of Knowledge Sources
IV. Models of Speech Sound Perception
V. Approaches to Auditory Word Recognition
VI. Summary and Conclusions
References
2. Auditory and Phonetic Coding Of Speech
I. Introduction
II. The Problem of Perceptual Constancy
III. A Framework for a Model of Speech Perception
IV. A Process Model
References
3. The Role of the Lexicon in Speech Perception
I. The Musing
II. The Facts
III. The Answer
References
4. The Role of Attention and Active Processing in Speech Perception
I. Introduction
II. Control Structures in Perception
III. Capacity Limitations in Speech Perception
IV. Toward an Active Theory of Speech Perception
V. Conclusions
References
5. Suprasegmentals in Very Large Vocabulary Word Recognition
I. Introduction
II. Analysis of Large Vocabularies
III. Suprasegmental Knowledge Sources in Recognition
IV. Conclusions
References
6. The Adaptive Self-Organization of Serial Order in Behavior: Speech, Language, and Motor Control
I. Introduction: Principles of Self-organization in Models of Serial Order: Performance Models versus Self-organizing Models
II. Models of Lateral Inhibition, Temporal Order, Letter Recognition, Spreading Activation, Associative Learning, Categorical Perception, and Memory Search: Some Problem Areas
III. Associative Learning by Neural Networks: Interactions between STM and LTM
IV. LTM Unit Is a Spatial Pattern: Sampling and Factorization
V. Outstar Learning: Factorizing Coherent Pattern from Chaotic Activity
VI. Sensory Expectancies, Motor Synergies, and Temporal Order Information
VII. Ritualistic Learning of Serial Behavior: Avalanches
VIII. Decoupling Order and Rhythm: Nonspecific Arousal as a Velocity Command
IX. Reaction Time and Performance Speed-Up
X. Hierarchical Chunking and the Learning of Serial Order
XI. Self-organization of Plans: The Goal Paradox
XII. Temporal Order Information in LTM
XIII. Read-out and Self-inhibition of Ordered STM Traces
XIV. The Problem of STM-LTM Order Reversal
XV. Serial Learning
XVI. Rhythm Generators and Rehearsal Waves
XVII. Shunting Competitive Dynamics in Pattern Processing and STM: Automatic Self-tuning by Parallel Interactions
XVIII. Choice, Contrast Enhancement, Limited STM Capacity, and Quenching Threshold
XIX. Limited Capacity without a Buffer: Automaticity versus Competition
XX. Hill Climbing and the Rich Get Richer
XXI. Instar Learning: Adaptive Filtering and Chunking
XXII. Spatial Gradients, Stimulus Generalization, and Categorical Perception
XXIII. The Progressive Sharpening of Memory: Tuning Prewired Perceptual Categories
XXIV. Stabilizing the Coding of Large Vocabularies: Top-Down Expectancies and STM Reset by Unexpected Events
XXV. Expectancy Matching and Adaptive Resonance
XXVI. The Processing of Novel Events: Pattern Completion versus Search of Associative Memory
XXVII. Recognition, Automaticity, Primes, and Capacity
XXVIII. Anchors, Auditory Contrast, and Selective Adaptation
XXIX. Training of Attentional Set and Perceptual Categories
XXX. Circular Reactions, Babbling, and the Development of Auditory-Articulatory Space
XXXI. Analysis-by-Synthesis and the Imitation of Novel Events
XXXII. A Moving Picture of Continuously Interpolated Terminal Motor Maps: Coarticulation and Articulatory Undershoot
XXXIII. A Context-Sensitive STM Code for Event Sequences
XXXIV. Stable Unitization and Temporal Order Information in STM: The LTM Invariance Principle
XXXV. Transient Memory Span, Grouping, and Intensity-Time Tradeoffs
XXXVI. Backward Effects and Effects of Rate on Recall Order
XXXVII. Seeking the Most Predictive Representation: All Letters and Words Are Lists
XXXVIII. Spatial Frequency Analysis of Temporal Patterns by a Masking Field: Word Length and Superiority
XXXIX. The Temporal Chunking Problem
XL. The Masking Field: Joining Temporal Order to Differential Masking via an Adaptive Filter
XLI. The Principle of Self-similarity and the Magic Number 7
XLII. Developmental Equilibration of the Adaptive Filter and Its Target Masking Field
XLIII. The Self-similar Growth Rule and the Opposites Attract Rule
XLIV. Automatic Parsing, Learned Superiority Effects, and Serial Position Effects during Pattern Completion
XLV. Gray Chips or Great Ships
XLVI. Sensory Recognition versus Motor Recall: Network Lesions and Amnesias
XLVII. Four Types of Rhythm: Their Reaction Times and Arousal Sources
XLVIII. Concluding Remarks
Appendix: Dynamical Equations
References
7. Cognitive Science and the Study of Cognition and Language
I. Introduction
II. On What Is Stored: The Concept of a Symbol
III. Requirements on Representations: Atomism Revisited
IV. Structure in Linguistics and Artificial Intelligence
V. Conclusion: Information Processing and Its Acculturation
References
Index
- Edition: 1
- Published: January 28, 1986
- No. of pages (eBook): 336
- Imprint: Academic Press
- Language: English
- Hardback ISBN: 9780126314038
- Paperback ISBN: 9781483206677
- eBook ISBN: 9781483220109
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