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Books on the topic 'Acoustic analysis of speech'

Author: Grafiati
Published: 28 June 2021
Last updated: 12 February 2022

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1

Kent, Raymond D. The acoustic analysis of speech. San Diego: Singular, 1996.

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2

1940-, Read Charles, ed. The acoustic analysis of speech. 2nd ed. Australia: Singular/Thomson Learning, 2002.

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3

1940-, Read Charles, ed. The acoustic analysis of speech. San Diego, Calif: Singular Pub. Group, 1992.

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4

Kent, Raymond D. The acoustic analysis of speech. London: Whurr, 1992.

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5

Patryn, Ryszard. Phonetic-acoustic analysis of Polish speech sounds. Warszawa: Wydawnictwa Uniwersytetu Warszawskiego, 1987.

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6

Chuang, Ming-Fei. Interactive tools for sound signal analysis. Monterey, Calif: Naval Postgraduate School, 1997.

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7

Harrington, Jonathan. Techniques in speech acoustics. Dordrecht: Kluwer Academic Publishers, 1999.

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8

1952-, Cassidy Steve, ed. Techniques in speech acoustics. Dordrecht: Kluwer Academic Publishers, 1999.

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9

Bolla, Kálmán. A phonetic conspectus of English: The articulatory and acoustic features of British English speech sounds. Budapest: Linguistics Institute of the Hungarian Academy of Sciences, 1989.

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10

Schuller, Björn W. Intelligent Audio Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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11

Cunningham, C. C. Performance optimization of a rotor alone Nacelle for acoustic fan testing. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2000.

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12

Thvanʻʺ, Sinʻʺ. Le lhuiṅʻ Saddabeda nhaṅʻʹ Mranʻ māʹ Saddavivuḍṭi niyāmabeda (Le lhuiṅʻ saddabeda nhaṅʻʹ Mranʻ mā ca kāʺ saṃ proṅʻ lai mhu ca nacʻ ) =: Acoustic phonetics and the phonology of the Myanmar Language (Theories and practices for practical language analysis). Saṅkanʻʺ kyvanʻʺ, Ranʻ kunʻ: Rvhe raññʻ Mraṅʻʹ mratʻ Cā pe, 2007.

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13

Burdic, William S. Underwater acoustic system analysis. 2nd ed. Englewood Cliffs, N.J: Prentice Hall, 1991.

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14

Philip, Lieberman. Speech physiology, speech perception, and acoustic phonetics. Cambridge [Cambridgeshire]: Cambridge University Press, 1988.

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15

E, Blumstein Sheila, ed. Speech physiology, speech perception and acoustic phonetics. Cambridge: Cambridge University Press, 1988.

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16

Burton, Robert L. A videofluoroscopic and spectrographic analysis of the relationship between the formant frequencies of selected phonemes and the articulatory positions of the lips, tongue and mandible in male singers. Ann Arbor, Mich: Xerox University Microfilms, 1994.

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17

Fulop, Sean A. Speech Spectrum Analysis. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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18

Fulop, Sean A. Speech Spectrum Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17478-0.

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19

Finite element analysis of acoustic scattering. New York: Springer, 1998.

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20

Ihlenburg, Frank, ed. Finite Element Analysis of Acoustic Scattering. New York: Springer-Verlag, 1998. http://dx.doi.org/10.1007/b98828.

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21

Hanson, David R. Rock stability analysis using acoustic spectroscopy. Pittsburgh, Pa. (4800 Forbes Ave., Pittsburgh 15213): U.S. Dept. of the Interior, Bureau of Mines, 1985.

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22

Elements of acoustic phonetics. 2nd ed. Chicago: University of Chicago Press, 1996.

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23

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

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24

A field manual of acoustic phonetics. Dallas, Tex: SIL International, 2010.

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25

Leemann, Adrian. Acoustic analysis of Swiss English vowel quality. Bern: Universität Bern, Institut für Sprachwissenschaft, 2007.

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26

Leemann, Adrian. Acoustic analysis of Swiss English vowel quality. Bern: Universität Bern, Institut für Sprachwissenschaft, 2007.

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27

L, Chen C. Analysis of numerical approaches for acoustic equations. Washington, D. C: American Institute of Aeronautics and Astronautics, 1993.

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28

Stump speech murder: A Pamela Barnes acoustic mystery. [Aurora, IL]: Cozy Cat Press, 2012.

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29

Powers, John P. Acoustic propagation modeling using MATLAB. Monterey, Calif: Naval Postgraduate School, 1993.

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30

Ramsey, Neville William. Articulatory-based analysis of speech. [S.l: The Author], 1990.

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31

Phonetic analysis of speech corpora. Chichester, U.K: Wiley-Blackwell, 2010.

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32

Conference on Mechanical Vibration and Noise (11th 1987 Boston, Mass.). Mechanical signature analysis: Machinery vibration, flow-induced vibration, and acoustic noise analysis. New York, N.Y. (345 E. 47th St., New York 10017): American Society of Mechanical Engineers, 1987.

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33

Benesty, Jacob. A Perspective on Stereophonic Acoustic Echo Cancellation. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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34

Martin, R. M. Power cepstrum technique with application to model helicopter acoustic data. Hampton, Va: Langley Research Center, 1986.

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35

Katherine, Morton, ed. Expression in speech: Analysis and synthesis. New York: Oxford University Press, 2004.

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36

Köster, Friedemann. Multidimensional Analysis of Conversational Telephone Speech. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5224-8.

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37

Wortham, Stanton, and Angela Reyes. Discourse Analysis Beyond the Speech Event. 2nd edition. | Abingdon, Oxon; New York, NY: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9781003049708.

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38

Benesty, Jacob, and Israel Cohen. Canonical Correlation Analysis in Speech Enhancement. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67020-1.

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39

Otnes, Roald. Underwater Acoustic Networking Techniques. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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40

Grau, Roy H. Analysis of acoustic responses of domal salt mine samples. Washington, DC: Dept. of the Interior, 1989.

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41

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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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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42

The Kiel Corpus of Read/Spontaneous Speech: Acoustic data base, processing tools, and analysis results. Kiel: IPDS, 1997.

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43

Chellappa, Rama, and Sergios Theodoridis. Academic Press Library in Signal Processing Vol. 4: Image, Video Processing and Analysis, Hardware, Audio, Acoustic and Speech Processing. Elsevier Science & Technology Books, 2013.

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44

Academic Press Library in Signal Processing: Volume 4 - Image, Video Processing and Analysis, Hardware, Audio, Acoustic and Speech Processing. Elsevier, 2014. http://dx.doi.org/10.1016/c2011-0-07209-5.

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45

Schuller, Björn W. Intelligent Audio Analysis. Springer, 2013.

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46

Schuller, Björn W. Intelligent Audio Analysis. Springer, 2013.

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47

Signals and Systems: An Introduction (Prentice Hall International Series in Acoustics, Speech and Signal Processing). Prentice Hall, 1991.

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48

Kubozono, Haruo, ed. The Phonetics and Phonology of Geminate Consonants. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198754930.001.0001.

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Geminate consonants, also known as long consonants, appear in many languages in the world, and how they contrast with their short counterparts, or singletons (e.g. /tt/ vs. /t/), is an important topic that features in most linguistics and phonology textbooks. However, neither their phonetic manifestation nor their phonological nature is fully understood, much less their cross-linguistic similarities and differences. As the first volume specifically devoted to the phonetics and phonology of geminate consonants, this book aims to bring together novel, original data and analyses concerning many individual languages in different parts of the world, to present a wide range of perspectives for the study of phonological contrasts in general by introducing various experimental (acoustic, perceptual, physiological, and electrophysiological) and non-experimental methodologies, and to discuss phonological contrasts in a wider context than is generally considered by looking also at the behaviour of geminate consonants in loanword phonology and language acquisition. Studying geminate consonants requires interdisciplinary approaches including experimental phonetics (acoustics and speech perception), theoretical phonology, speech processing, neurolinguistics, and language acquisition. Providing phonetic and phonological details about geminate consonants across languages will greatly contribute to research in these fields.
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49

Chellappa, Rama, and Sergios Theodoridis. Academic Press Library in Signal Processing: Signal Processing Theory and Machine Learning, Communications and Radar Signal Processing, Array and Statistical Signal Processing, Image, Video Processing and Analysis, Hardware, Audio, Acoustic and Speech Processing. Elsevier Science & Technology Books, 2013.

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50

Burdic, William S. Underwater Acoustic System Analysis. Peninsula Pub, 2003.

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