Connectionist Speech Recognition

Author : Hervé A. Bourlard,Nelson Morgan
Publisher : Springer Science & Business Media
Page : 329 pages
File Size : 52,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461532101

Get Book

Connectionist Speech Recognition by Hervé A. Bourlard,Nelson Morgan Pdf

Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden Markov models (HMMs) to improve their performance. In this framework, neural networks (and in particular, multilayer perceptrons or MLPs) have been restricted to well-defined subtasks of the whole system, i.e. HMM emission probability estimation and feature extraction. The book describes a successful five-year international collaboration between the authors. The lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. The book illustrates both the advantages and limitations of neural networks in the framework of a statistical systems. Using standard databases and comparison with some conventional approaches, it is shown that MLP probability estimation can improve recognition performance. Other approaches are discussed, though there is no such unequivocal experimental result for these methods. Connectionist Speech Recognition is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. This includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. The book is also suitable as a text for advanced courses on neural networks or speech processing.

Author : Raymond G. Daniloff
Publisher : Psychology Press
Page : 327 pages
File Size : 53,6 Mb
Release : 2001-08-01
Category : Psychology
ISBN : 9781135690922

Get Book

Connectionist Approaches To Clinical Problems in Speech and Language by Raymond G. Daniloff Pdf

Connectionist accounts of language acquisition, processing, and dissolution proliferate despite attacks from some linguists, cognitive scientists, and engineers. Although the networks of exquisitely interconnected perceptrons postulated by PDP theorists may not be anatomically homologous with actual brain anatomy, a growing body of research suggests that the posited network functions can support many human behaviors. This volume brings together contributors with a variety of backgrounds and perspectives to explore, for the first time, the clinical implications of whole-language connectionist models. Demonstrating that these models are powerful and have explained many phenomena of language acquisition, language therapy, and speech processing, especially at the engineering level, they focus specifically on applications of connectionist theory to delayed language, aphasia, phonological acquisition, and speech perception. Connectionist models, they conclude, offer a new interpretive framework for the discussion of information processing in humans and other animals that will be of great utility to all those who study language and seek to intervene in language disorders.

Author : Noel Sharkey
Publisher : Springer Science & Business Media
Page : 385 pages
File Size : 48,7 Mb
Release : 2012-12-06
Category : Language Arts & Disciplines
ISBN : 9789401126243

Get Book

Connectionist Natural Language Processing by Noel Sharkey Pdf

Connection science is a new information-processing paradigm which attempts to imitate the architecture and process of the brain, and brings together researchers from disciplines as diverse as computer science, physics, psychology, philosophy, linguistics, biology, engineering, neuroscience and AI. Work in Connectionist Natural Language Processing (CNLP) is now expanding rapidly, yet much of the work is still only available in journals, some of them quite obscure. To make this research more accessible this book brings together an important and comprehensive set of articles from the journal CONNECTION SCIENCE which represent the state of the art in Connectionist natural language processing; from speech recognition to discourse comprehension. While it is quintessentially Connectionist, it also deals with hybrid systems, and will be of interest to both theoreticians as well as computer modellers. Range of topics covered: Connectionism and Cognitive Linguistics Motion, Chomsky's Government-binding Theory Syntactic Transformations on Distributed Representations Syntactic Neural Networks A Hybrid Symbolic/Connectionist Model for Understanding of Nouns Connectionism and Determinism in a Syntactic Parser Context Free Grammar Recognition Script Recognition with Hierarchical Feature Maps Attention Mechanisms in Language Script-Based Story Processing A Connectionist Account of Similarity in Vowel Harmony Learning Distributed Representations Connectionist Language Users Representation and Recognition of Temporal Patterns A Hybrid Model of Script Generation Networks that Learn about Phonological Features Pronunciation in Text-to-Speech Systems

Author : Yoshua Bengio,Renato De Mori,McGill University. School of Computer Science
Publisher : Unknown
Page : 31 pages
File Size : 40,9 Mb
Release : 1990
Category : Speech recognition systems
ISBN : OCLC:32417117

Get Book

Some Connectionist Models and Their Application to Automatic Speech Recognition by Yoshua Bengio,Renato De Mori,McGill University. School of Computer Science Pdf

Abstract: "We attempt to apply some connectionist models to automatic speech recognition. To do so we first consider ways to take advantage of a-priori knowledge in the design of those models. For example we consider the influence on generalization of various preprocessing methods, of the output coding and supervision as well as the architectural design. Recurrent neural networks contain cycles that enable them to retain some information about their past history in order to better predict the next output given the current input. Hence we describe two learning algorithms for these networks, one for general architectures (but not local in time) and one for constrained architectures with self- loops only. Given the importance of cpu requirements for back-propagation algorithms, we discuss some simple methods that can greatly accelerate the convergence of gradient descent with the back-propagation algorithm. In particular we introduce an original technique that provides a different learning rate to different layers of a multi-layered sigmoid network. We then study an alternative type of networks based on Radial Basis Functions (local representation) that can be initialized very fast. We present in detail the results of several experiments with these networks on the recognition of phonemes for the TIMIT databases (speaker-independent, continuous speech database). We propose an acceleration scheme for Radial Basis Functions based on a fast search of the subset of active hidden units. After considering successful networks that combine gaussian units and sigmoid units in a network we propose a cognitively relevant model that combines both a local representation and and [sic] a distributed representation subnetworks to which correspond respectively a fast-learning and a slow-learning capability. This system is based on a reorganization phase during which the information about prototypes and outliers stored in the local subsystem is transferred to the distributed representation subsystem."

Author : Martin Dickey,Leonard M. Faltz,Arizona State University. Department of Computer Science
Publisher : Unknown
Page : 66 pages
File Size : 47,8 Mb
Release : 1988
Category : Automatic speech recognition
ISBN : OCLC:20832376

Get Book

Connectionist Speech Recognition by Martin Dickey,Leonard M. Faltz,Arizona State University. Department of Computer Science Pdf

Author : Shigeru Katagiri
Publisher : Artech House Publishers
Page : 560 pages
File Size : 41,8 Mb
Release : 2000
Category : Computers
ISBN : UOM:39015049972048

Get Book

Handbook of Neural Networks for Speech Processing by Shigeru Katagiri Pdf

Here are the comprehensive details on cutting edge technologies employing neural networks for speech recognition and speech processing in modern communications. Going far beyond the simple speech recognition technologies on the market today, this new book, written by and for speech and signal processing engineers in industry, R&D, and academia, takes you to the forefront of the hottest emergent neural net-based speech processing techniques.

Author : Patrick S P Wang,Isabelle Guyon
Publisher : World Scientific
Page : 329 pages
File Size : 51,7 Mb
Release : 1994-01-01
Category : Electronic
ISBN : 9789814611817

Get Book

Advances In Pattern Recognition Systems Using Neural Network Technologies by Patrick S P Wang,Isabelle Guyon Pdf

Contents:A Connectionist Approach to Speech Recognition (Y Bengio)Signature Verification Using a “Siamese” Time Delay Neural Network (J Bromley et al.)Boosting Performance in Neural Networks (H Drucker et al.)An Integrated Architecture for Recognition of Totally Unconstrained Handwritten Numerals (A Gupta et al.)Time-Warping Network: A Neural Approach to Hidden Markov Model Based Speech Recognition (E Levin et al.)Computing Optical Flow with a Recurrent Neural Network (H Li & J Wang)Integrated Segmentation and Recognition through Exhaustive Scans or Learned Saccadic Jumps (G L Martin et al.)Experimental Comparison of the Effect of Order in Recurrent Neural Networks (C B Miller & C L Giles)Adaptive Classification by Neural Net Based Prototype Populations (K Peleg & U Ben-Hanan)A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study (L Wiskott & C von der Malsburg)and other papers Readership: Computer scientists and engineers.

Author : Pietro Laface,Renato DeMori
Publisher : Springer Science & Business Media
Page : 557 pages
File Size : 55,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642766268

Get Book

Speech Recognition and Understanding by Pietro Laface,Renato DeMori Pdf

The book collects the contributions to the NATO Advanced Study Institute on "Speech Recognition and Understanding: Recent Advances, Trends and Applications", held in Cetraro, Italy, during the first two weeks of July 1990. This Institute focused on three topics that are considered of particular interest and rich of i'p.novation by researchers in the fields of speech recognition and understanding: Advances in Hidden Markov modeling, connectionist approaches to speech and language modeling, and linguistic processing including language and dialogue modeling. The purpose of any ASI is that of encouraging scientific communications between researchers of NATO countries through advanced tutorials and presentations: excellent tutorials were offered by invited speakers that present in this book 15 papers which sum marize or detail the topics covered in their lectures. The lectures were complemented by discussions, panel sections and by the presentation of related works carried on by some of the attending researchers: these presentations have been collected in 42 short contributions to the Proceedings. This volume, that the reader can find useful for an overview, although incomplete, of the state of the art in speech understanding, is divided into 6 Parts.

Author : Stefan Wermter,Ellen Riloff,Gabriele Scheler
Publisher : Springer Science & Business Media
Page : 490 pages
File Size : 45,6 Mb
Release : 1996-03-15
Category : Computers
ISBN : 3540609253

Get Book

Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing by Stefan Wermter,Ellen Riloff,Gabriele Scheler Pdf

This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.

Author : Alexander Waibel,Kai-Fu Lee
Publisher : Elsevier
Page : 680 pages
File Size : 42,5 Mb
Release : 1990-12-25
Category : Computers
ISBN : 9780080515847

Get Book

Readings in Speech Recognition by Alexander Waibel,Kai-Fu Lee Pdf

After more than two decades of research activity, speech recognition has begun to live up to its promise as a practical technology and interest in the field is growing dramatically. Readings in Speech Recognition provides a collection of seminal papers that have influenced or redirected the field and that illustrate the central insights that have emerged over the years. The editors provide an introduction to the field, its concerns and research problems. Subsequent chapters are devoted to the main schools of thought and design philosophies that have motivated different approaches to speech recognition system design. Each chapter includes an introduction to the papers that highlights the major insights or needs that have motivated an approach to a problem and describes the commonalities and differences of that approach to others in the book.

Author : R. Pfeifer,Z. Schreter,F. Fogelman-Soulié,L. Steels
Publisher : Elsevier
Page : 541 pages
File Size : 45,6 Mb
Release : 1989-08-23
Category : Computers
ISBN : 9780444598769

Get Book

Connectionism in Perspective by R. Pfeifer,Z. Schreter,F. Fogelman-Soulié,L. Steels Pdf

An evaluation of the merits, potential, and limits of Connectionism, this book also illustrates current research programs and recent trends. Connectionism (also known as Neural Networks) is an exciting new field which has brought together researchers from different areas such as artificial intelligence, computer science, cognitive science, neuroscience, physics, and complex dynamics. These researchers are applying the connectionist paradigm in an interdisciplinary way to the analysis and design of intelligent systems. In this book, researchers from the above-mentioned fields not only report on their most recent research results, but also describe Connectionism from the perspective of their own field, looking at issues such as: - the effects and the utility of Connectionism for their field - the potential and limitations of Connectionism - can it be combined with other approaches?

Author : Yves Chauvin,David E. Rumelhart
Publisher : Psychology Press
Page : 576 pages
File Size : 52,8 Mb
Release : 2013-02-01
Category : Psychology
ISBN : 9781134775811

Get Book

Backpropagation by Yves Chauvin,David E. Rumelhart Pdf

Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The second presents a number of network architectures that may be designed to match the general concepts of Parallel Distributed Processing with backpropagation learning. Finally, the third section shows how these principles can be applied to a number of different fields related to the cognitive sciences, including control, speech recognition, robotics, image processing, and cognitive psychology. The volume is designed to provide both a solid theoretical foundation and a set of examples that show the versatility of the concepts. Useful to experts in the field, it should also be most helpful to students seeking to understand the basic principles of connectionist learning and to engineers wanting to add neural networks in general -- and backpropagation in particular -- to their set of problem-solving methods.

Author : Morten H. Christiansen,Nick Chater
Publisher : Bloomsbury Publishing USA
Page : 399 pages
File Size : 54,6 Mb
Release : 2001-08-30
Category : Social Science
ISBN : 9780313073816

Get Book

Connectionist Psycholinguistics by Morten H. Christiansen,Nick Chater Pdf

Setting forth the state of the art, leading researchers present a survey on the fast-developing field of Connectionist Psycholinguistics: using connectionist or neural networks, which are inspired by brain architecture, to model empirical data on human language processing. Connectionist psycholinguistics has already had a substantial impact on the study of a wide range of aspects of language processing, ranging from inflectional morphology, to word recognition, to parsing and language production. Christiansen and Chater begin with an extended tutorial overview of Connectionist Psycholinguistics which is followed by the latest research by leading figures in each area of research. The book also focuses on the implications and prospects for connectionist models of language, not just for psycholinguistics, but also for computational and linguistic perspectives on natural language. The interdisciplinary approach will be relevant for, and accessible to psychologists, cognitive scientists, linguists, philosophers, and researchers in artificial intelligence.

Author : Keith Ponting
Publisher : Springer Science & Business Media
Page : 478 pages
File Size : 54,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642600876

Get Book

Computational Models of Speech Pattern Processing by Keith Ponting Pdf

Proceedings of the NATO Advanced Study Institute on Computational Models of Speech Pattern Processing, held in St. Helier, Jersey, UK, July 7-18, 1997

Author : Chin-Hui Lee,Frank K. Soong,Kuldip K. Paliwal
Publisher : Springer Science & Business Media
Page : 524 pages
File Size : 48,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461313670

Get Book

Automatic Speech and Speaker Recognition by Chin-Hui Lee,Frank K. Soong,Kuldip K. Paliwal Pdf

Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption of a statistical pattern recognition paradigm; the use of the hidden Markov modeling framework to characterize both the spectral and the temporal variations in the speech signal; the use of a large set of speech utterance examples from a large population of speakers to train the hidden Markov models of some fundamental speech units; the organization of speech and language knowledge sources into a structural finite state network; and the use of dynamic, programming based heuristic search methods to find the best word sequence in the lexical network corresponding to the spoken utterance. Automatic Speech and Speaker Recognition: Advanced Topics groups together in a single volume a number of important topics on speech and speaker recognition, topics which are of fundamental importance, but not yet covered in detail in existing textbooks. Although no explicit partition is given, the book is divided into five parts: Chapters 1-2 are devoted to technology overviews; Chapters 3-12 discuss acoustic modeling of fundamental speech units and lexical modeling of words and pronunciations; Chapters 13-15 address the issues related to flexibility and robustness; Chapter 16-18 concern the theoretical and practical issues of search; Chapters 19-20 give two examples of algorithm and implementational aspects for recognition system realization. Audience: A reference book for speech researchers and graduate students interested in pursuing potential research on the topic. May also be used as a text for advanced courses on the subject.