An Automatic Speech Recognition System Based on a Physiological Model PDF Download
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Author: Tony Ray Gilligan
Publisher:
ISBN:
Category :
Languages : en
Pages : 180
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Author: Tony Ray Gilligan
Publisher:
ISBN:
Category :
Languages : en
Pages : 180
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Author: Seiichi Nakagawa
Publisher: IOS Press
ISBN: 9789051991789
Category : Medical
Languages : en
Pages : 254
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Book Description
A wide range of fields of study support speech research. They cover many fields like for instance phonetics, linguistics, psychology, cognitive science, sonics, information engineering (information theory, pattern recognition, artificial intelligence), and it is an extremely difficult job to carry all of these in one body.The first half of this book gives detailed descriptions of engineering applications, that is the speech, hearing and perception mechanisms that form the basis for automatic synthesis and recognition of speech. The second half of this book gives a detailed explanation of speech synthesis and recognition based on a collective physiological approach, that is the artificial neural networks which imitate human neural networks and have once again been bathed in attention lately. The characteristics of this book are that, along with having engineers and technicians as its main targets, it explains engineering models based on speech science.
Author: Andrew S. Noetzel
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
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Book Description
Organizations of computing elements that follow the principles of physiological neurons, called neural network models, have been shown to have the capability of learning to recognize patterns and to retrieve complete patterns from partial representations. The implementation of neural network models as VLSI or USLI chips within a few years is certain. This report reviews a number of published papers on neural network models and their capabilities. Then, an outline of a speech recognition system that uses neural network modules for learning and recognition is proposed. It is based on the layered structure of existing speech recognition systems, and uses forced learning (feedback) for conditioning the neural modules at the various levels. (Author).
Author: Kai-Fu Lee
Publisher: Springer Science & Business Media
ISBN: 1461536502
Category : Technology & Engineering
Languages : en
Pages : 216
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Book Description
Speech Recognition has a long history of being one of the difficult problems in Artificial Intelligence and Computer Science. As one goes from problem solving tasks such as puzzles and chess to perceptual tasks such as speech and vision, the problem characteristics change dramatically: knowledge poor to knowledge rich; low data rates to high data rates; slow response time (minutes to hours) to instantaneous response time. These characteristics taken together increase the computational complexity of the problem by several orders of magnitude. Further, speech provides a challenging task domain which embodies many of the requirements of intelligent behavior: operate in real time; exploit vast amounts of knowledge, tolerate errorful, unexpected unknown input; use symbols and abstractions; communicate in natural language and learn from the environment. Voice input to computers offers a number of advantages. It provides a natural, fast, hands free, eyes free, location free input medium. However, there are many as yet unsolved problems that prevent routine use of speech as an input device by non-experts. These include cost, real time response, speaker independence, robustness to variations such as noise, microphone, speech rate and loudness, and the ability to handle non-grammatical speech. Satisfactory solutions to each of these problems can be expected within the next decade. Recognition of unrestricted spontaneous continuous speech appears unsolvable at present. However, by the addition of simple constraints, such as clarification dialog to resolve ambiguity, we believe it will be possible to develop systems capable of accepting very large vocabulary continuous speechdictation.
Author: Manfred Robert Schroeder
Publisher: Karger Medical and Scientific Publishers
ISBN: 9783805540124
Category : Medical
Languages : en
Pages : 220
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Author: W. A. Ainsworth
Publisher: Elsevier
ISBN: 1483137929
Category : Medical
Languages : en
Pages : 153
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Book Description
Mechanisms of Speech Recognition explores the mechanisms underlying speech recognition. Topics covered include the auditory system, speech production, auditory psychophysics, speech synthesis and analysis, vowel and consonant recognition, and perception of prosodic features and of distorted speech. Automatic speech recognition and models of speech recognition are also given consideration. This volume consists of 11 chapters and begins with an overview of speech recognition, communication, and production. More specifically, it examines the way in which the organs of the vocal apparatus are employed to transform a message consisting of a string of linguistic units, such as words or phonemes, into a wave of continuous sounds which are recognized as speech. The auditory system and its parts are then described, from the ears to the organ of Corti and nerve cells. The chapters that follow focus on the behavior of the hearing system, the various techniques of analyzing speech sounds, and speech synthesizers such as vocoders. The mechanisms underlying the recognition of vowels and consonants are also described, along with the physical parameters of the speech wave which signal the prosody of an utterance, the effects of distortions in the speech wave on speech perception, and tools used in automatic speech recognition. The book concludes with an evaluation of models of speech recognition. This book will be of interest to phoneticians, linguists, physiologists, psychologists, and physicists.
Author: W.J. Hardcastle
Publisher: Springer Science & Business Media
ISBN: 9400920377
Category : Language Arts & Disciplines
Languages : en
Pages : 454
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Book Description
Speech sound production is one of the most complex human activities: it is also one of the least well understood. This is perhaps not altogether surprising as many of the complex neurological and physiological processes involved in the generation and execution of a speech utterance remain relatively inaccessible to direct investigation, and must be inferred from careful scrutiny of the output of the system -from details of the movements of the speech organs themselves and the acoustic consequences of such movements. Such investigation of the speech output have received considerable impetus during the last decade from major technological advancements in computer science and biological transducing, making it possible now to obtain large quantities of quantative data on many aspects of speech articulation and acoustics relatively easily. Keeping pace with these advancements in laboratory techniques have been developments in theoretical modelling of the speech production process. There are now a wide variety of different models available, reflecting the different disciplines involved -linguistics, speech science and technology, engineering and acoustics. The time seems ripe to attempt a synthesis of these different models and theories and thus provide a common forum for discussion of the complex problem of speech production. Such an activity would seem particularly timely also for those colleagues in speech technology seeking better, more accurate phonetic models as components in their speech synthesis and automatic speech recognition systems.
Author: Dong Yu
Publisher: Springer
ISBN: 1447157796
Category : Technology & Engineering
Languages : en
Pages : 329
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Book Description
This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.
Author: Mike Scanlon
Publisher:
ISBN:
Category :
Languages : en
Pages : 8
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Book Description
Systems designers are expressing greater interest in speech-based user interfaces for a variety of civilian and military applications. Such interfaces provide hands free operation and a more natural way for humans to interact with systems. One difficulty with speech-based user interfaces is poor operation in noisy environments such as military operations. The Physiological Sensor, developed at ARL, is an example of an alternative sensor for automatic speech recognition This sensor detects speech by measuring acoustic signals through the speaker's skin. While the signal produced is not typical of that from an airborne acoustic microphone, the possibility exists for using this sensor as a microphone. We investigate several possible methods for using the Physiological Sensor as a microphone for automatic speech recognition.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 704
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