Neural Networks and Speech Processing: The Springer International Series in Engineering and Computer Science, cartea 130
Autor David P. Morgan, Christopher L. Scofielden Limba Engleză Paperback – 27 sep 2012
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Paperback (1) | 1197.53 lei 6-8 săpt. | |
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Springer Us – 28 feb 1991 | 1203.55 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781461367635
ISBN-10: 1461367638
Pagini: 412
Ilustrații: XVII, 391 p.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.58 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
ISBN-10: 1461367638
Pagini: 412
Ilustrații: XVII, 391 p.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.58 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1 Introduction.- 1.1 Motivation.- 1.2 A Few Words on Speech Recognition.- 1.3 A Few Words on Neural Networks.- 1.4 Contents.- 2 The Mammalian Auditory System.- 2.1 Introduction to Auditory Processing.- 2.2 The Anatomy and Physiology of Neurons.- 2.3 Neuroanatomy of the Auditory System.- 2.4 Recurrent Connectivity in the Auditory Pathway.- 2.5 Summary.- 3 An Artificial Neural Network Primer.- 3.1 A Neural Network Primer for Speech Scientists.- 3.2 Elements of Artificial Neural Networks.- 3.3 Learning in Neural Networks.- 3.4 Supervised Learning.- 3.5 Multi-Layer Networks.- 3.6 Unsupervised Learning.- 3.7 Summary.- 4 A Speech Technology Primer.- 4.1 A Speech Primer for Neural Scientists.- 4.2 Human Speech Production/Perception.- 4.3 ASR Technology.- 4.4 Signal Processing and Feature Extraction.- 4.5 Time Alignment and Pattern Matching.- 4.6 Language Models.- 4.7 Summary.- 5 Methods in Neural Network Applications.- 5.1 The Allure of Neural Networks for Speech Processing.- 5.2 The Computational Properties of ANNs.- 5.3 ANN Limitations: The Scaling Problem.- 5.4 Structured ANN Solutions.- 5.5 Summary.- 6 Signal Processing and Feature Extraction.- 6.1 The Importance of Signal Representations.- 6.2 The Signal Processing Problem Domain.- 6.3 Biologically Motivated Signal Processing.- 6.4 ANNs for Conventional Signal Processing.- 6.5 Feature Representations.- 6.6 Summary.- 7 Time Alignment and Pattern Matching.- 7.1 Modeling Spectro-Temporal Structure.- 7.2 Time Normalization Via Pre-Processing.- 7.3 The Dynamic Programming Neural Network.- 7.4 HMM Motivated Networks.- 7.5 Recurrent Networks for Temporal Modeling.- 7.6 The Time Delay Neural Network.- 7.7 Summary.- 8 Natural Language Processing.- 8.1 The Importance of Language Processing.- 8.2 Syntactic Models.- 8.3 Semantic Models.- 8.4 Knowledge Representation.- 8.5 Summary.- 9 ANN Keyword Recognition.- 9.1 Keyword Spotting.- 9.2 The Primary KWS System.- 9.3 DUR Experiments.- 9.4 Secondary Processing Experiments.- 9.5 Summary.- 10 Neural Networks and Speech Processing.- 10.1 Speech Processing Applications.- 10.2 Summary of Efforts in ASR.- 10.3 Concluding Remarks.