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Relevant bibliographies by topics / Automatic speech recognition system (ASR) / Books

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Books on the topic 'Automatic speech recognition system (ASR)'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Lee, Kai-Fu. Automatic speech recognition: The development of the SPHINX system. Springer Science+Business Media, LLC, 1989.

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2

Lee, Kai-Fu. Automatic speech recognition: The development of the SPHINX system. Kluwer Academic Publishers, 1989.

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3

Russell, M. J. The development of the speaker independent ARM continuous speech recognition system. Controller, H.M.S.O., 1992.

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4

Peeling, S. M. The use of linear discriminant analysis in the ARM continuous speech recognition system. Controller H.M.S.O., 1992.

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5

Alphen, Paul van. HMM-based continuous-speech recognition: Systematic evaluation of various system components. PTT Research,], 1992.

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6

Peeling, S. M. Preliminiary results on the use of linear discriminant analysis in the ARM continuous speech recognition system. Controller, HMSO, 1991.

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7

ADS 2004 (2004 Benediktinerabtei Irsee, Germany). Affective dialogue systems: Tutorial and research workshop, ADS 2004, Kloster Irsee, Germany, June 14-16, 2004 ; proceedings. Springer, 2004.

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8

Mark, Gawron Jean, and Norvig Peter, eds. Verbmobil: A translation system for face-to-face dialog. Center for the Study of Language and Information, 1994.

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9

service), SpringerLink (Online, ed. Contextual Computing: Models and Applications. Springer-Verlag Berlin Heidelberg, 2011.

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10

Popper, Arthur N., John C. Middlebrooks, Jonathan Z. Simon, and Richard R. Fay. The Auditory System at the Cocktail Party. Springer, 2017.

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11

Popper, Arthur N., John C. Middlebrooks, Jonathan Z. Simon, and Richard R. Fay. The Auditory System at the Cocktail Party. Springer, 2018.

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12

Antonio J. Rubio Ayuso (Editor) and Juan M. Lopez Soler (Editor), eds. Speech Recognition and Coding: New Advances and Trends (NATO ASI Series / Computer and Systems Sciences). Springer, 1995.

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13

Lee, Kai-Fu. Automatic Speech Recognition: The Development of the SPHINX Recognition System (The Springer International Series in Engineering and Computer Science). Springer, 1988.

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14

Herbig, Tobias, Franz Gerl, and Wolfgang Minker. Self-Learning Speaker Identification: A System for Enhanced Speech Recognition. Springer, 2013.

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15

(Editor), David G. Stork, and Marcus E. Hennecke (Editor), eds. Speechreading by Humans and Machines: Models, Systems, and Applications (NATO ASI Series / Computer and Systems Sciences). Springer, 1996.

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16

Hofer, Joachim. Method and System of Random Access Compression of Transducer Data for Automatic Speech Recognition Decoding: United States Patent. Independently Published, 2020.

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17

Voicebot and Chatbot Design: Flexible Conversational Interfaces with Amazon Alexa, Google Home, and Facebook Messenger. Packt Publishing, Limited, 2018.

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18

(Editor), Elisabeth André, Laila Dybkjaer (Editor), Wolfgang Minker (Editor), and Paul Heisterkamp (Editor), eds. Affective Dialogue Systems: Tutorial and Research Workshop, ADS 2004, Kloster Irsee, Germany, June 14-16, 2004, Proceedings (Lecture Notes in Computer Science). Springer, 2004.

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19

Mehta, Vaishali, Dolly Sharma, Monika Mangla, Anita Gehlot, Rajesh Singh, and Sergio Márquez Sánchez, eds. Challenges and Opportunities for Deep Learning Applications in Industry 4.0. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150360601220101.

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The competence of deep learning for the automation and manufacturing sector has received astonishing attention in recent times. The manufacturing industry has recently experienced a revolutionary advancement despite several issues. One of the limitations for technical progress is the bottleneck encountered due to the enormous increase in data volume for processing, comprising various formats, semantics, qualities and features. Deep learning enables detection of meaningful features that are difficult to perform using traditional methods. The book takes the reader on a technological voyage of th

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20

Hilgurt, S. Ya, and O. A. Chemerys. Reconfigurable signature-based information security tools of computer systems. PH “Akademperiodyka”, 2022. http://dx.doi.org/10.15407/akademperiodyka.458.297.

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The book is devoted to the research and development of methods for combining computational structures for reconfigurable signature-based information protection tools for computer systems and networks in order to increase their efficiency. Network security tools based, among others, on such AI-based approaches as deep neural networking, despite the great progress shown in recent years, still suffer from nonzero recognition error probability. Even a low probability of such an error in a critical infrastructure can be disastrous. Therefore, signature-based recognition methods with their theoretic

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21

Crespo Miguel, Mario. Automatic corpus-based translation of a spanish framenet medical glossary. 2020th ed. Editorial Universidad de Sevilla, 2020. http://dx.doi.org/10.12795/9788447230051.

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Computational linguistics is the scientific study of language from a computational perspective. It aims is to provide computational models of natural language processing (NLP) and incorporate them into practical applications such as speech synthesis, speech recognition, automatic translation and many others where automatic processing of language is required. The use of good linguistic resources is crucial for the development of computational linguistics systems. Real world applications need resources which systematize the way linguistic information is structured in a certain language. There is

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22

Gawron, Mark, Martin Kay, and Peter Norvig. Verbmobil: A Translation System for Face-to-Face Dialog (Center for the Study of Language and Information - Lecture Notes). Center for the Study of Language and Inf, 1992.

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23

Gawron, Mark, Martin Kay, and Peter Norvig. Verbmobil: A Translation System for Face-to-Face Dialog (Center for the Study of Language and Information - Lecture Notes). Center for the Study of Language and Inf, 1992.

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24

Porzel, Robert. Contextual Computing. Springer, 2011.

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25

Porzel, Robert. Contextual Computing: Models and Applications. Springer London, Limited, 2013.

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