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Relevant bibliographies by topics / Speech recognition / Books

Books on the topic 'Speech recognition'

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Author: Grafiati

Published: 4 June 2021

Last updated: 7 September 2024

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1

Yu, Dong, and Li Deng. Automatic Speech Recognition. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5779-3.

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2

Lee, Kai-Fu. Automatic Speech Recognition. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4615-3650-5.

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3

Bourlard, Hervé A., and Nelson Morgan. Connectionist Speech Recognition. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-3210-1.

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4

Markowitz, Judith A. Using speech recognition. Upper Saddle River, N.J: Prentice Hall PTR, 1996.

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5

Woelfel, Matthias. Distant speech recognition. Chichester, West Sussex, U.K: Wiley, 2009.

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6

Buydos, John F. Speech recognition and processing. Washington, D.C: Science Reference Section, Science and Technology Division, Library of Congress, 1994.

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7

Huang, X. D. Hidden Markov models for speech recognition. Edinburgh: Edinburgh University Press, 1990.

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8

Holmes, J. N. Speech synthesis and recognition. 2nd ed. New York: Taylor & Francis, 2001.

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9

Laface, Pietro, and Renato De Mori, eds. Speech Recognition and Understanding. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76626-8.

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10

Neustein, Amy, ed. Advances in Speech Recognition. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5951-5.

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11

Ayuso, Antonio J. Rubio, and Juan M. López Soler, eds. Speech Recognition and Coding. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57745-1.

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12

Alex, Waibel, and Lee Kai-Fu, eds. Readings in speech recognition. San Mateo, Calif: Morgan Kaufmann Publishers, 1990.

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13

Wendy, Holmes, ed. Speech synthesis and recognition. 2nd ed. London: Taylor & Francis, 2002.

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14

Waibel, Alex. Prosody and speech recognition. London: Pitman, 1988.

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15

Ainsworth, W. A. Speech recognition by machine. London, U.K: P. Peregrinus on behalf of the Institution of Electrical Engineers, 1988.

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16

Waibel, Alex. Prosody and speech recognition. London: Pitman, 1988.

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17

inc, International Resource Development, ed. Speech recognition & voice synthesis. Norwalk, Conn., U.S.A. (6 Prowitt St., Norwalk 06855): International Resource Development, 1985.

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18

Ainsworth, W. A. Speech recognition by machine. London: Peregrinus on behalf of the Institution of Electrical Engineers, 1987.

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19

Rabiner, Lawrence R. Fundamentals of speech recognition. Englewood Cliffs, N.J: PTR Prentice Hall, 1993.

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20

Gupta, Sunil. Speech Recognition with Python. Berkeley, CA: Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0777-0.

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21

Sun, Jianjun. Computer based speech analysis and speech recognition. Huddersfield: The Polytechnic, 1989.

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22

Robert, Rodman, ed. Voice recognition. Boston: Artech House, 1997.

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23

Yannakoudakis, E. J. Speech synthesis and recognition systems. Chichester, West Sussex, England: E. Horwood, 1987.

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24

He, Xiaodong, and Li Deng. Discriminative Learning for Speech Recognition. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-02557-0.

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25

Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. Emotion Recognition using Speech Features. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5143-3.

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26

Peinado, Antonio M., and José C. Segura. Speech Recognition Over Digital Channels. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470024720.

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27

Junqua, Jean-Claude, and Jean-Paul Haton. Robustness in Automatic Speech Recognition. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1297-0.

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28

Lee, Chin-Hui, Frank K. Soong, and Kuldip K. Paliwal, eds. Automatic Speech and Speaker Recognition. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1367-0.

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29

Keshet, Joseph, and Samy Bengio, eds. Automatic Speech and Speaker Recognition. Chichester, UK: John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470742044.

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30

Sen, Soumya, Anjan Dutta, and Nilanjan Dey. Audio Processing and Speech Recognition. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6098-5.

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31

Church, Kenneth W. Phonological Parsing in Speech Recognition. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-2013-5.

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32

Romero-Fresco, Pablo. Subtitling through speech recognition: Respeaking. Manchester, UK: St. Jerome Pub., 2011.

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33

Schroeder, Manfred R. Computer Speech: Recognition, Compression, Synthesis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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34

Jonson, Rebecca. Information state based speech recognition. [Gothenburg]: University of Gothenburg, Graduate School of Language Technology, 2010.

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35

Mihelič, France, and Janez Žibert. Speech recognition: Technologies and applications. Vienna: I-Tech Education and Publishing, 2008.

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36

Melnikoff, Stephen Jonathan. Speech recognition in programmable logic. Birmingham: University of Birmingham, 2003.

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37

Leventis, Constantinos P. Speech recognition application in C.I.C. Monterey, Calif: Naval Postgraduate School, 1991.

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38

Michael, Koerner, ed. Speech recognition: The future now! Austin, Tex: IBM International Technical Support Organization, 1997.

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39

Church, Kenneth W. Phonological Parsing in Speech Recognition. Boston, MA: Springer US, 1987.

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40

Church, Kenneth Ward. Phonological parsing in speech recognition. Boston: Kluwer Academic Publishers, 1987.

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41

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

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42

Lamel, Lori, and Jean-Luc Gauvain. Speech Recognition. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0016.

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Abstract:

Speech recognition is concerned with converting the speech waveform, an acoustic signal, into a sequence of words. Today's approaches are based on a statistical modellization of the speech signal. This article provides an overview of the main topics addressed in speech recognition, which are, acoustic-phonetic modelling, lexical representation, language modelling, decoding, and model adaptation. Language models are used in speech recognition to estimate the probability of word sequences. The main components of a generic speech recognition system are, main knowledge sources, feature analysis, and acoustic and language models, which are estimated in a training phase, and the decoder. The focus of this article is on methods used in state-of-the-art speaker-independent, large-vocabulary continuous speech recognition (LVCSR). Primary application areas for such technology are dictation, spoken language dialogue, and transcription for information archival and retrieval systems. Finally, this article discusses issues and directions of future research.

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43

Mihelic, France, and Janez Zibert, eds. Speech Recognition. InTech, 2008. http://dx.doi.org/10.5772/93.

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44

Speech Recognition. Flatiron Pub, 1993.

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45

McDonough, John, and Matthias Woelfel. Distant Speech Recognition. Wiley & Sons, Incorporated, John, 2009.

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46

Holmes, David S. Speech Synthesis & Recognition. Chapman & Hall, 1988.

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47

McDonough, John, and Matthias Christ Woelfel. Distant Speech Recognition. Wiley & Sons, Limited, John, 2009.

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48

McDonough, John, and Matthias Woelfel. Distant Speech Recognition. Wiley & Sons, Incorporated, John, 2009.

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49

Markowitz, Judith A. Using Speech Recognition. J. Markowitz, Consultants, 2000.

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50

Solutions, Inc Speaking. Speech Recognition Applications. Speaking Solutions, 2011.

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