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Books on the topic 'Network speech recognition'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Haider, Najmi Ghani. A digital neural network approach to speech recognition. Brunel University, 1989.

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2

Nakagawa, Seiichi. Speech, hearing and neural network models. Ohmsha, 1995.

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3

Vasquez, Daniel. Hierarchical Neural Network Structures for Phoneme Recognition. Springer Berlin Heidelberg, 2013.

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4

Burke, David. Speech Processing for IP Networks. John Wiley & Sons, Ltd., 2007.

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5

Khan, Muhammad Afaq. Building service-aware networks. Cisco Press, 2010.

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6

Khan, Muhammad Afaq. Building service-aware networks: The next-generation WAN/MAN. Cisco Press, 2010.

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7

Chollet, Gerard, Maria Gabriella Di Benedetto, Anna Esposito, and Maria Marinaro, eds. Speech Processing, Recognition and Artificial Neural Networks. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0845-0.

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8

Bourlard, Hervé. Connectionist speech recognition: A hybrid approach. Kluwer Academic Publishers, 1994.

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9

Shishkin, Aleksey. Methods of digital processing and speech recognition. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1904325.

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The monograph discusses the theory, algorithms and practical methods of implementing digital processing and recognition of speech signals. The basics of mathematical analysis of digital signals necessary for speech processing are presented. The acoustic theory of speech formation with the construction of a general discrete model is briefly described. The main characteristic features of speech signals, as well as methods of their isolation are considered. Hidden Markov models and the architecture of traditional recognition systems based on them are described in detail. Weighted finite converters used to increase the efficiency and speed up the process of decoding acoustic signals are considered. The main architectures of artificial neural networks and examples of integrated (end-to-end) speech recognition systems based on them are presented. It is intended for students, postgraduates, researchers and specialists dealing with speech signal processing, pattern recognition and artificial intelligence.

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10

Bourlard, Hervé A. Connectionist speech recognition: A hybrid approach. Kluwer Academic, 1993.

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11

Schroeder, Manfred R. Computer Speech: Recognition, Compression, Synthesis. Springer Berlin Heidelberg, 1999.

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12

Dib, Mohammed. Automatic Speech Recognition of Arabic Phonemes with Neural Networks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97710-2.

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13

Tan, Zheng-Hua, and Børge Lindberg. Automatic Speech Recognition on Mobile Devices and over Communication Networks. Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-143-5.

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14

Zheng-Hua, Tan, and Lindberg Børge, eds. Automatic speech recognition on mobile devices and over communication networks. Springer, 2008.

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15

Elmahdy, Mohamed. Novel Techniques for Dialectal Arabic Speech Recognition. Springer US, 2012.

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16

Ismaiel-Wendt, Johannes Salim, and Andi Schoon, eds. Postcolonial Repercussions. transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839462522.

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Can sound be perceived independently of its social dimension? Or is it always embedded in a discursive network? »Postcolonial Repercussions« explores these questions in form of a collective conversation. The contributors have collected sound stories and sound knowledge from Brazil to Morocco, listened to resonances from the Underground and the Pacific Ocean, from Popular Music and speech recognition. The anthology gathers heterogeneous approaches to emancipatory forms of ontological listening as well as pleas for critical fabulation and a practice of care. It tells us about opportunities, perspectives and the (im)possibility of decolonised listening.

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17

Y, Kung S., IEEE Signal Processing Society. Neural Networks Technical Committee., and IEEE Workshop on Neural Networks for Signal Processing (2nd : 1992 : Helsingør, Denmark), eds. Neural networks for signal processing II: Proceedings of the 1992 IEEE-SP workshop : second in a series of workshops. The Institute of Electrical and Electronics Engineers, 1992.

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18

N, Lea Robert, Villarreal James, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Proceedings of the Second Joint Technology Workshop on Neural Networks and Fuzzy Logic: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration ... and cosponsored by Lyndon B. Johnson Space Center and the University of Houston, Clear Lake, Houston, Texas, April 10-13, 1990. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1991.

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19

Pathak, Manas A. Privacy-Preserving Machine Learning for Speech Processing. Springer New York, 2013.

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20

Association canadienne-francaise pour l'avancement des sciences. Congrès. Les techniques d'intelligence artificielle appliquées aux technologies de l'information: Réflexions sur les approches neuroniques, symboliques et numériques appliquées à la vision, l'écrit, la parole et le biomédical : actes du Colloque multidisciplinaire L'intelligence artificielle dans les technologies de l'information tenu dans le cadre du Congrès de l'Acfas à Montréal en mai 1996. ACFAS, 1997.

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21

Lindblad, Thomas. Image Processing using Pulse-Coupled Neural Networks: Applications in Python. 3rd ed. Springer Berlin Heidelberg, 2013.

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22

Inc, Cisco Systems, and Cisco Networking Academy Program, eds. Cisco Networking Academy Program fundamentals of voice and data cabling companion guide. Cisco Press, 2003.

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23

Wolfgang, Minker, Bühler Dirk MSc, Dybkjær Laila 1959-, and International Society for Computers and Their Applications., eds. Spoken multimodal human-computer dialogue in mobile environments. Springer, 2005.

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24

Vasquez, Daniel, Rainer Gruhn, and Wolfgang Minker. Hierarchical Neural Network Structures for Phoneme Recognition. Springer Berlin / Heidelberg, 2014.

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25

Vasquez, Daniel, Rainer Gruhn, and Wolfgang Minker. Hierarchical Neural Network Structures for Phoneme Recognition. Springer, 2012.

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26

Vasquez, Daniel, Rainer Gruhn, and Wolfgang Minker. Hierarchical Neural Network Structures for Phoneme Recognition. Springer, 2012.

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27

Shikano, K., and Y. Tohkura. Speech, Hearing and Neural Network Models, (Biomedical and Health Research). Ios Pr Inc, 1995.

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28

Burke, David. Speech Processing for IP Networks: Media Resource Control Protocol. Wiley & Sons, Limited, John, 2007.

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29

Burke, David. Speech Processing for IP Networks: Media Resource Control Protocol (MRCP). Wiley, 2007.

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30

Khan, Muhammad Afaq. Building Service-Aware Networks: The Next-Generation WAN/MAN. Pearson Education, Limited, 2009.

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31

Early adopter voiceXML. Wrox Press, 2001.

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32

Diphone-Based Speech Recognition Using Neural Networks. Storming Media, 1996.

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33

Bengio, Yoshua. Neural Networks for Speech and Sequence Recognition. Itp New Media, 1996.

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34

Hands-On Speech Recognition with Kaldi/TIMIT: Demystify Automatic Speech Recognition and Deep Neural Networks. Independently Published, 2020.

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35

Tan, Zheng-Hua, and Boerge Lindberg. Automatic Speech Recognition on Mobile Devices and over Communication Networks. Springer London, Limited, 2010.

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36

Tan, Zheng-Hua, and Boerge Lindberg. Automatic Speech Recognition on Mobile Devices and over Communication Networks. Springer, 2008.

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37

Ambikairajah, E. Speech Recognition: The Role of Neural Networks (Chapman & Hall Neural Computing). Chapman & Hall, 1991.

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38

Elmahdy, Mohamed, Rainer Gruhn, and Wolfgang Minker. Novel Techniques for Dialectal Arabic Speech Recognition. Springer, 2014.

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39

Katagiri, Shigeru. Handbook of Neural Networks for Speech Processing (Artech House Signal Processing Library). Artech House Inc, 2000.

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40

AbuZeina, Dia, and Moustafa Elshafei. Cross-Word Modeling for Arabic Speech Recognition. Springer, 2011.

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41

AbuZeina, Dia, and Moustafa Elshafei. Cross-Word Modeling for Arabic Speech Recognition. Springer, 2011.

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42

Morgan, Nelson, and Hervé A. Bourlard. Connectionist Speech Recognition: A Hybrid Approach (The International Series in Engineering and Computer Science). Springer, 1993.

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43

Müller, Christian. Speaker Classification I: Fundamentals, Features, and Methods. Springer London, Limited, 2007.

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44

International School on Neural Nets Eduardo R. Caianiello (Corporate Author), E. R. Caianiello (Editor), and Gerard Chollet (Editor), eds. Speech Processing, Recognition and Artificial Neural Networks: Proceedings of the 3rd International School on Neural Nets "Eduardo R. Caianiello. Springer, 1999.

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45

Dib, Mohammed. Automatic Speech Recognition of Arabic Phonemes with Neural Networks: A Contrastive Study of Arabic and English. Springer, 2018.

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46

Speaker Classification. Springer, 2007.

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47

Benedetto, Maria-Gabriella Di, Maria Marinaro, Anna Esposito, and Gerard Chollet. Speech Processing, Recognition and Artificial Neural Networks: Proceedings of the 3rd International School on Neural Nets Eduardo R. Caianiello. Springer London, Limited, 2012.

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48

Speech Processing, Recognition and Artificial Neural Networks: Proceedings of the 3rd International School on Neural Nets "Eduardo R. Caianiello". Springer, 2011.

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49

Marinaro, Maria, Anna Esposito, Gerard Chollet, and Marcos Faundez-Zanuy. Nonlinear Speech Modeling and Applications: Advanced Lectures and Revised Selected Papers. Springer London, Limited, 2005.

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50

Remote voice training: A case study on space shuttle applications : appendix C. National Aeronautics and Space Administration, 1990.

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