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Journal articles on the topic 'Speech production'

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Published: 4 June 2021
Last updated: 20 July 2024

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1

Docherty, Gerard J. "Speech Production and Speech Modelling." Journal of Phonetics 20, no. 3 (July 1992): 403–10. http://dx.doi.org/10.1016/s0095-4470(19)30641-2.

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2

Gabbouj, Moncef. "Speech production and speech modelling." Signal Processing 23, no. 2 (May 1991): 215. http://dx.doi.org/10.1016/0165-1684(91)90075-t.

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3

Collins, P. "Illuminating speech production." Trends in Cognitive Sciences 2, no. 6 (June 1998): 204. http://dx.doi.org/10.1016/s1364-6613(98)01194-2.

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4

Goldstein, Louis, and Dani Byrd. "Dynamic units in speech production: Evidence from speech production errors." Journal of the Acoustical Society of America 109, no. 5 (May 2001): 2381. http://dx.doi.org/10.1121/1.4744392.

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5

Lin, Qiguang. "Speech production theory and articulatory speech synthesis." Journal of the Acoustical Society of America 90, no. 4 (October 1991): 2203. http://dx.doi.org/10.1121/1.401651.

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6

King, Simon, Joe Frankel, Karen Livescu, Erik McDermott, Korin Richmond, and Mirjam Wester. "Speech production knowledge in automatic speech recognition." Journal of the Acoustical Society of America 121, no. 2 (February 2007): 723–42. http://dx.doi.org/10.1121/1.2404622.

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7

Sprague, Richard P., and Kevin R. Kachikian. "Conversionless digital speech production." Journal of the Acoustical Society of America 88, no. 4 (October 1990): 2052–53. http://dx.doi.org/10.1121/1.400131.

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8

Kröger, Bernd J. "Acoustics of Speech Production." Journal of the Acoustical Society of America 146, no. 1 (July 2019): 71. http://dx.doi.org/10.1121/1.5115356.

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9

Watson, B. C. "Measures of speech production." IEEE Engineering in Medicine and Biology Magazine 7, no. 1 (March 1988): 30–33. http://dx.doi.org/10.1109/51.651.

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10

Casserly, Elizabeth D., and David B. Pisoni. "Speech perception and production." Wiley Interdisciplinary Reviews: Cognitive Science 1, no. 5 (August 2, 2010): 629–47. http://dx.doi.org/10.1002/wcs.63.

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11

Barac‐Cikoja, Dragana, Stephanie Karch, Melissa Kokx, and Lucas Lancaster. "Relative loudness of speech feedback during speech production." Journal of the Acoustical Society of America 129, no. 4 (April 2011): 2588. http://dx.doi.org/10.1121/1.3588563.

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12

Haeil Park. "Neural Evidence for Speech Perception Mirroring Speech Production." Korean Journal of Linguistics 38, no. 2 (June 2013): 327–43. http://dx.doi.org/10.18855/lisoko.2013.38.2.006.

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13

Cabbage, Kathryn, Elaine R. Hitchcock, Michelle T. Swartz, and Thomas Carrell. "Investigation of machine-learning-based stimuli for the remediation of children’s speech errors." Journal of the Acoustical Society of America 155, no. 3_Supplement (March 1, 2024): A337. http://dx.doi.org/10.1121/10.0027733.

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Children with speech sound disorders (SSDs) demonstrate difficulty producing phonemes correctly and may exhibit poor speech perception compared to their age-matched peers; however, group differences in speech perception skills remain largely unexplained. Developmental models of speech production posit that children’s ability to discriminate correct and incorrect productions in their own speech may be critical for developing accurate speech production. Historically, when children regularly mispronounce a phoneme, it has been essentially impossible to assess whether they perceive correct versus errors productions in their own speech, thus creating a clinical conundrum. How can we assess a child’s ability to perceive the accuracy of their own phoneme production when they cannot produce a correct production? Recent technological developments allow for acoustic alteration of children’s speech that digitally corrects speech sound errors while preserving natural characteristics of the child’s voice. This machine-learning-based stimuli may then be used as training and feedback tokens for remediation when treating children with speech sound disorders. Such acoustic alteration is possible within an accessible, user-friendly environment that is clinically feasible for speech-language pathologists with little acoustic training. Thus, the purpose of this study is to evaluate the acoustic and perceptual accuracy of acoustically-altered child-speech compared to natural speech tokens.
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14

Wang, Emily Q., Yi Xu, Katie Kompoliti, and Christopher G. Goetz. "Observing the link between speech production and speech perception from disordered speech." Journal of the Acoustical Society of America 108, no. 5 (November 2000): 2508. http://dx.doi.org/10.1121/1.4743267.

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15

McGowan, Richard S., and Alice Faber. "Acoustic 1996: Speech production parameters for automatic speech recognition." Journal of the Acoustical Society of America 101, no. 1 (January 1997): 28. http://dx.doi.org/10.1121/1.418310.

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16

Hoit, Jeannette D., and Steven A. Shea. "Speech Production and Speech With a Phrenic Nerve Pacer." American Journal of Speech-Language Pathology 5, no. 2 (May 1996): 53–60. http://dx.doi.org/10.1044/1058-0360.0502.53.

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A phrenic nerve pacer is a neural prosthesis used by some individuals with ventilatory insufficiency. This report provides a description of the phrenic nerve pacer and contains a case study of a young man in whom speech production during phrenic nerve pacing was examined and contrasted to that during mechanical (positive-pressure) ventilation. Results revealed that the physical mechanisms used to produce speech and the resultant speech output differed under these two ventilatory conditions. Listener judgments indicated that speech produced with a phrenic nerve pacer was strongly preferred over that produced with a mechanical ventilator, primarily because it was more continuous and contained fewer and shorter pauses. This continuity was due, in part, to a conservation-of-air strategy employed by the speaker. These observations have important clinical implications for speech-language pathologists responsible for enhancing spoken communication skills in clients requiring ventilatory support.
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17

Erickson, Donna. "Expressive speech: Production, perception and application to speech synthesis." Acoustical Science and Technology 26, no. 4 (2005): 317–25. http://dx.doi.org/10.1250/ast.26.317.

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18

Sondhi, M. M. "Models of speech production for speech analysis and synthesis." Journal of the Acoustical Society of America 87, S1 (May 1990): S14. http://dx.doi.org/10.1121/1.2028027.

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19

Daly, Imen, Zied Hajaiej, and Ali Gharsallah. "Physiology of Speech/Voice Production." Journal of Pharmaceutical Research International 23, no. 3 (August 8, 2018): 1–7. http://dx.doi.org/10.9734/jpri/2018/42403.

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20

HONDA, Kiyoshi. "MODELS OF SPEECH PRODUCTION MECHANISMS." Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 22, no. 1 (1995): 11–21. http://dx.doi.org/10.2333/jbhmk.22.11.

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21

Kelso, J. A. S., and Betty Tuller. "Intrinsic time in speech production." Journal of the Acoustical Society of America 77, S1 (April 1985): S53. http://dx.doi.org/10.1121/1.2022391.

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22

Johnson, Keith. "Individual differences in speech production." Journal of the Acoustical Society of America 102, no. 5 (November 1997): 3114. http://dx.doi.org/10.1121/1.420559.

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23

Chan, Kit Ying, and Michael S. Vitevitch. "Network Structure Influences Speech Production." Cognitive Science 34, no. 4 (May 2010): 685–97. http://dx.doi.org/10.1111/j.1551-6709.2010.01100.x.

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24

Gentilucci, Maurizio. "Grasp observation influences speech production." European Journal of Neuroscience 17, no. 1 (January 2003): 179–84. http://dx.doi.org/10.1046/j.1460-9568.2003.02438.x.

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25

Gordon, Peter C. "Lexical Access in Speech Production." Language and Speech 37, no. 4 (October 1994): 439–42. http://dx.doi.org/10.1177/002383099403700408.

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26

Tremblay, Stéphanie, Douglas M. Shiller, and David J. Ostry. "Somatosensory basis of speech production." Nature 423, no. 6942 (June 2003): 866–69. http://dx.doi.org/10.1038/nature01710.

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27

Hickok, Gregory. "Computational neuroanatomy of speech production." Nature Reviews Neuroscience 13, no. 2 (January 5, 2012): 135–45. http://dx.doi.org/10.1038/nrn3158.

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28

Houde, J. F. "Sensorimotor Adaptation in Speech Production." Science 279, no. 5354 (February 20, 1998): 1213–16. http://dx.doi.org/10.1126/science.279.5354.1213.

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29

Roberts, Benjamin, and Kim Kirsner. "Temporal cycles in speech production." Language and Cognitive Processes 15, no. 2 (April 2000): 129–57. http://dx.doi.org/10.1080/016909600386075.

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30

Honda, Kiyoshi. "Visualization of Speech Production Mechanisms." Perspectives on Speech Science and Orofacial Disorders 17, no. 1 (July 2007): 3–6. http://dx.doi.org/10.1044/ssod17.1.3.

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31

Krane, Michael. "Aeroacoustic production of speech sounds." Journal of the Acoustical Society of America 123, no. 5 (May 2008): 3576. http://dx.doi.org/10.1121/1.2934667.

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32

Tye‐Murray, Nancy. "Visual feedback during speech production." Journal of the Acoustical Society of America 79, no. 4 (April 1986): 1169–71. http://dx.doi.org/10.1121/1.393390.

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33

Gracco, Vincent L., Pascale Tremblay, and Bruce Pike. "Imaging speech production using fMRI." NeuroImage 26, no. 1 (May 2005): 294–301. http://dx.doi.org/10.1016/j.neuroimage.2005.01.033.

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34

Crookes, Graham. "Second Language Speech Production Research." Studies in Second Language Acquisition 13, no. 2 (June 1991): 113–31. http://dx.doi.org/10.1017/s0272263100009918.

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Recent SLA theory development, supported by related developments in cognitive psychology, has made the study of SL speech production, hitherto neglected, a promising area of work. Recent developments in L1 production studies have provided a gradually strengthening foundation for investigations of L2 production with both use and acquisitional concerns. This article briefly sketches the current first language position as a necessary preliminary to a critical discussion of recent SL production research with particular regard to methodology.
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35

Menard, Lucie, Christine Turgeon, and Pamela Trudeau-Fisette. "Sensorimotor development and speech production." Journal of the Acoustical Society of America 139, no. 4 (April 2016): 2191. http://dx.doi.org/10.1121/1.4950523.

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36

Temple, Liz. "Second language learner speech production." Studia Linguistica 54, no. 2 (August 2000): 288–97. http://dx.doi.org/10.1111/1467-9582.00068.

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37

Perrier, Pascal, Rafael Laboissière, Christian Abry, and Shinji Maeda. "Speech production: Models and data." Speech Communication 22, no. 2-3 (August 1997): 89–92. http://dx.doi.org/10.1016/s0167-6393(97)00028-9.

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38

Tatham, Mark, and Katherine Morton. "Data structures in speech production." Journal of the International Phonetic Association 33, no. 1 (June 2003): 17–49. http://dx.doi.org/10.1017/s0025100303001142.

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Computationally testable models in linguistics focus on declaring data structures and providing exemplar derivations. This paper outlines a comprehensive model of speech production which goes beyond derivations to show how actual instances of utterances can be formally characterised. Utterances contain a wealth of detail beyond the underlying utterance plan: some of this is a function of the mechanism itself (e.g. coarticulation) and some is the result of carefully supervised control. We develop the notion of managed or supervised speech production to enable the inclusion of EXPRESSIVE content in speech. Building on earlier work the Cognitive Phonetics Agent bridges the gap between the physical and cognitive processes in phonetics by controlling the way phonologically determined utterance plans are phonetically rendered in detail. The model is illustrated using different types of data structure which occur in speech, concentrating in particular on an XML characterisation of appropriate structures. We trace a simple utterance through from its phonological plan to a detailed intrinsic allophonic representation to show how stages in the model work.
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39

Meyer, Antje S., and Willem J. M. Levelt. "Merging speech perception and production." Behavioral and Brain Sciences 23, no. 3 (June 2000): 339–40. http://dx.doi.org/10.1017/s0140525x00373241.

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A comparison of Merge, a model of comprehension, and WEAVER, a model of production, raises five issues: (1) merging models of comprehension and production necessarily creates feedback; (2) neither model is a comprehensive account of word processing; (3) the models are incomplete in different ways; (4) the models differ in their handling of competition; (5) as opposed to WEAVER, Merge is a model of metalinguistic behavior.
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40

Munhall, K. G. "Functional imaging during speech production." Acta Psychologica 107, no. 1-3 (April 2001): 95–117. http://dx.doi.org/10.1016/s0001-6918(01)00026-9.

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41

Cooper, William E., and Stephen J. Eady. "Metrical phonology in speech production." Journal of Memory and Language 25, no. 3 (June 1986): 369–84. http://dx.doi.org/10.1016/0749-596x(86)90007-0.

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42

Nasir, Sazzad M., and David J. Ostry. "Somatosensory Precision in Speech Production." Current Biology 16, no. 19 (October 2006): 1918–23. http://dx.doi.org/10.1016/j.cub.2006.07.069.

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43

Mito, Marion Jackson. "Aging and motor speech production." Topics in Geriatric Rehabilitation 1, no. 4 (July 1986): 29–44. http://dx.doi.org/10.1097/00013614-198607000-00007.

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44

Gibbon, Fiona E., Alice Lee, and Ivan Yuen. "Understanding speech production using electropalatography." Advances in Speech Language Pathology 9, no. 1 (January 2007): 1–2. http://dx.doi.org/10.1080/14417040601123684.

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45

House, Arthur S., and Kenneth N. Stevens. "Speech production: Thirty years after." Journal of the Acoustical Society of America 94, no. 3 (September 1993): 1763. http://dx.doi.org/10.1121/1.408060.

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46

Tang, Chihsia. "Planning units in speech production." Chinese Language and Discourse 4, no. 2 (December 31, 2013): 253–75. http://dx.doi.org/10.1075/cld.4.2.04tan.

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Previous studies based on observations of different languages have shown that phrase is the integral unit of speech formulation and articulation. Evidence from Mandarin Chinese, however, is scant. This research, therefore, sets out to explore whether the speech processing unit of Chinese spoken communication resembles that of other languages by examining its anticipatory retracing configurations in repair-related discourse. Results show that when doing repairs with the initiation strategy of speech retracing, speakers consistently return to various phrasal unit boundaries in the original utterances to restore their suspended articulations, showing that Mandarin speakers indeed organize narrative discourse on the basis of phrasal constituents. Based on the results of the present research, mental capacities of the speakers are deemed to have an impact on the syntactic scopes of anticipatory retracings in reconstructed speeches. This study thus contributes to the literature on units of speech planning from a typologically different language and raises questions about the status of the phrase in Mandarin grammar.
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47

Shuster, Linda I. "fMRI and Normal Speech Production." Perspectives on Neurophysiology and Neurogenic Speech and Language Disorders 13, no. 3 (October 2003): 16–21. http://dx.doi.org/10.1044/nnsld13.3.16.

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48

Fletcher, Samuel G. "Speech Production Following Partial Glossectomy." Journal of Speech and Hearing Disorders 53, no. 3 (August 1988): 232–38. http://dx.doi.org/10.1044/jshd.5303.232.

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Changes in the dimensions and patterns of articulation used by three speakers to compensate for different amounts of tongue tissue excised during partial glossectomy were investigated. Place of articulation was shifted to parts of the vocal tract congruent with the speakers' surgically altered lingual morphology. Certain metrical properties of the articulatory gestures, such as width of the sibilant groove, were maintained. Intelligibility data indicated that perceptually acceptable substitute sounds could be produced by such transposed gestures.
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49

Dhanjal, N. S., L. Handunnetthi, M. C. Patel, and R. J. S. Wise. "Perceptual Systems Controlling Speech Production." Journal of Neuroscience 28, no. 40 (October 1, 2008): 9969–75. http://dx.doi.org/10.1523/jneurosci.2607-08.2008.

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50

Code, Chris. "Speech automatism production in aphasia." Journal of Neurolinguistics 8, no. 2 (April 1994): 135–48. http://dx.doi.org/10.1016/0911-6044(94)90021-3.

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