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Journal articles on the topic 'Non-speech'

To see the other types of publications on this topic, follow the link: Non-speech.

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Yuldasheva, Dr Dilorom N. "BASIC NON-VERBAL COMPONENTS OF SPEECH." CURRENT RESEARCH JOURNAL OF PHILOLOGICAL SCIENCES 03, no. 01 (January 1, 2022): 17–24. http://dx.doi.org/10.37547/philological-crjps-03-01-04.

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We all know that verbal communication differs from the simple implementation of linguistic possibilities in a certain material form. Verbal communication is situational, so its forms and expressiveness are multifaceted. Nov, in Uzbek linguistics, cognitive linguistics is a new direction of research that determines the cognitive characteristics of linguistic units. In connection with the common language and national thinking, the main task of this direction is to study the cognitive, expressive, accumulative aspects of each linguistic phenomenon. Indeed, in the Uzbek environment, this period requires an analysis of the language with its owner in the presence of such factors as social environment, culture, nationality. In this article, verbal (synonymy, gradonymy, antonymy, paraphrase, metaphor, metonymy, synecdoche, irony, phraseology, euphemism, etc.) and non-verbal (tone, silent unit) language serve to reveal medical euphemistic meanings as a means of realizing linguopragmatics.

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2

Bürki-Cohen, Judith, Joanne L. Miller, and Peter D. Eimas. "Perceiving Non-Native Speech." Language and Speech 44, no. 2 (June 2001): 149–69. http://dx.doi.org/10.1177/00238309010440020201.

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3

Mohamed, Osama Abdo. "Non Parametric Speech Modeling." Journal of Computational and Theoretical Nanoscience 13, no. 7 (July 1, 2016): 4588–605. http://dx.doi.org/10.1166/jctn.2016.5324.

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4

Hardy, Carolyn, William E. Buys, and James M. Copeland. "Non-Competitive Speech Activities." English Journal 75, no. 1 (January 1986): 81. http://dx.doi.org/10.2307/816559.

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5

Lepistö, Tuulia, Rita Èeponienë, Kiyoshi Yaguchi, Raija Vanhala, Anna Shestakova, and Risto Näätänen. "Speech vs. Non-Speech Processing in Infantile Autism." International Journal of Circumpolar Health 60, sup1 (April 1, 2001): 63. http://dx.doi.org/10.1080/22423982.2001.12113142.

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6

Omidvar, Shaghayegh, Saeid Mahmoudian, Mehdi Khabazkhoob, Mohsen Ahadi, and Zahra Jafari. "Tinnitus Impacts on Speech and Non-speech Stimuli." Otology & Neurotology 39, no. 10 (December 2018): e921-e928. http://dx.doi.org/10.1097/mao.0000000000002002.

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7

Jacewicz, Ewa. "Spectral integration in speech and non‐speech sounds." Journal of the Acoustical Society of America 117, no. 4 (April 2005): 2422. http://dx.doi.org/10.1121/1.4786482.

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8

Rosen, Stuart, and Paul Iverson. "Constructing adequate non-speech analogues: whatisspecial about speech anyway?" Developmental Science 10, no. 2 (March 2007): 165–68. http://dx.doi.org/10.1111/j.1467-7687.2007.00550.x.

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9

Pazukhin, Rostislav. "On processing speech and non‐speech signals in acoustics." Journal of the Acoustical Society of America 105, no. 2 (February 1999): 978. http://dx.doi.org/10.1121/1.425347.

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10

Samuel, Arthur G., and Saioa Larraza. "Does listening to non-native speech impair speech perception?" Journal of Memory and Language 81 (May 2015): 51–71. http://dx.doi.org/10.1016/j.jml.2015.01.003.

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11

Allwood, Jens, Joakim Nivre, and Elisabeth Ahlsén. "Speech Management—on the Non-written Life of Speech." Nordic Journal of Linguistics 13, no. 1 (June 1990): 3–48. http://dx.doi.org/10.1017/s0332586500002092.

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This paper introduces the concept of speech management (SM), which refers to processes whereby a speaker manages his or her linguistic contributions to a communicative interaction, and which involves phenomena which have previously been studied under such rubrics as “planning”, “editing”, “(self-)repair”, etc. It is argued that SM phenomena exhibit considerable systematicity and regularity and must be considered part of the linguistic system. Furthermore, it is argued that SM phenomena must be related not only to such intraindividual factors as planning and memory, but also to interactional factors such as turntaking and feedback, and to informational content. Structural and functional taxonomies are presented together with a formal description of complex types of SM. The structural types are exemplified with data from a corpus of SM phenomena.

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12

Huijbregts, Marijn, and Franciska de Jong. "Robust speech/non-speech classification in heterogeneous multimedia content." Speech Communication 53, no. 2 (February 2011): 143–53. http://dx.doi.org/10.1016/j.specom.2010.08.008.

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13

Bennett, Steven M. "System for generating speech and non-speech audio messages." Journal of the Acoustical Society of America 117, no. 3 (2005): 994. http://dx.doi.org/10.1121/1.1896670.

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14

Lancheros, M., A.-L. Jouen, and M. Laganaro. "Neural dynamics of speech and non-speech motor planning." Brain and Language 203 (April 2020): 104742. http://dx.doi.org/10.1016/j.bandl.2020.104742.

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15

Asakawa, Kaori, Akihiro Tanaka, Shuichi Sakamoto, Yukio Iwaya, and Yôiti Suzuki. "Audiovisual synchrony perception of simplified speech sounds heard as speech and non-speech." Acoustical Science and Technology 32, no. 3 (2011): 125–28. http://dx.doi.org/10.1250/ast.32.125.

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16

Huo, Shuting, Sha Tao, Wenjing Wang, Mingshuang Li, Qi Dong, and Chang Liu. "Auditory detection of non-speech and speech stimuli in noise: Native speech advantage." Journal of the Acoustical Society of America 139, no. 5 (May 2016): EL161—EL166. http://dx.doi.org/10.1121/1.4951705.

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17

Mertens, Robert, Po-Sen Huang, Luke Gottlieb, Gerald Friedland, Ajay Divakaran, and Mark Hasegawa-Johnson. "On the Applicability of Speaker Diarization to Audio Indexing of Non-Speech and Mixed Non-Speech/Speech Video Soundtracks." International Journal of Multimedia Data Engineering and Management 3, no. 3 (July 2012): 1–19. http://dx.doi.org/10.4018/jmdem.2012070101.

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A video’s soundtrack is usually highly correlated to its content. Hence, audio-based techniques have recently emerged as a means for video concept detection complementary to visual analysis. Most state-of-the-art approaches rely on manual definition of predefined sound concepts such as “ngine sounds,” “utdoor/indoor sounds.” These approaches come with three major drawbacks: manual definitions do not scale as they are highly domain-dependent, manual definitions are highly subjective with respect to annotators and a large part of the audio content is omitted since the predefined concepts are usually found only in a fraction of the soundtrack. This paper explores how unsupervised audio segmentation systems like speaker diarization can be adapted to automatically identify low-level sound concepts similar to annotator defined concepts and how these concepts can be used for audio indexing. Speaker diarization systems are designed to answer the question “ho spoke when?”by finding segments in an audio stream that exhibit similar properties in feature space, i.e., sound similar. Using a diarization system, all the content of an audio file is analyzed and similar sounds are clustered. This article provides an in-depth analysis on the statistic properties of similar acoustic segments identified by the diarization system in a predefined document set and the theoretical fitness of this approach to discern one document class from another. It also discusses how diarization can be tuned in order to better reflect the acoustic properties of general sounds as opposed to speech and introduces a proof-of-concept system for multimedia event classification working with diarization-based indexing.

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18

Jaffe, Alexandra. "Introduction: Non-standard orthography and non-standard speech." Journal of Sociolinguistics 4, no. 4 (November 2000): 497–513. http://dx.doi.org/10.1111/1467-9481.00127.

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19

Pichora‐Fuller, M. Kathleen, Bruce A. Schneider, Nancy Benson, Stanley Hamstra, and Edward Storzer. "Age differences in detecting gaps in speech and non‐speech." Journal of the Acoustical Society of America 117, no. 4 (April 2005): 2572. http://dx.doi.org/10.1121/1.4788573.

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20

Dehaene-Lambertz, G. "Cerebral Specialization for Speech and Non-Speech Stimuli in Infants." Journal of Cognitive Neuroscience 12, no. 3 (May 2000): 449–60. http://dx.doi.org/10.1162/089892900562264.

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Early cerebral specialization and lateralization for auditory processing in 4-month-old infants was studied by recording high-density evoked potentials to acoustical and phonetic changes in a series of repeated stimuli (either tones or syllables). Mismatch responses to these stimuli exhibit a distinct topography suggesting that different neural networks within the temporal lobe are involved in the perception and representation of the different features of an auditory stimulus. These data confirm that specialized modules are present within the auditory cortex very early in development. However, both for syllables and continuous tones, higher voltages were recorded over the left hemisphere than over the right with no significant interaction of hemisphere by type of stimuli. This suggests that there is no greater left hemisphere involvement in phonetic processing than in acoustic processing during the first months of life.

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21

Miyagishima, Kazuaki, Satoshi Imaizumi, Koichi Mori, Koichi Yoneda, Shigeru Kiritani, and Masato Yumoto. "Distinctive magnetic activity elicited by speech and non-speech sounds." Journal of the Acoustical Society of Japan (E) 15, no. 3 (1994): 193–96. http://dx.doi.org/10.1250/ast.15.193.

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22

Little, Jason S., Frances Heritage Martin, and Richard H. S. Thomson. "Speech versus non-speech as irrelevant sound: Controlling acoustic variation." Biological Psychology 85, no. 1 (September 2010): 62–70. http://dx.doi.org/10.1016/j.biopsycho.2010.05.004.

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23

Priya, T. Lakshmi, N. R. Raajan, N. Raju, P. Preethi, and S. Mathini. "Speech and Non-Speech Identification and Classification using KNN Algorithm." Procedia Engineering 38 (2012): 952–58. http://dx.doi.org/10.1016/j.proeng.2012.06.120.

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24

Tremblay, Corinne, François Champoux, Patrice Voss, Benoit A. Bacon, Franco Lepore, and Hugo Théoret. "Speech and Non-Speech Audio-Visual Illusions: A Developmental Study." PLoS ONE 2, no. 8 (August 15, 2007): e742. http://dx.doi.org/10.1371/journal.pone.0000742.

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25

Wyk, Brent C. Vander, Gordon J. Ramsay, Caitlin M. Hudac, Warren Jones, David Lin, Ami Klin, Su Mei Lee, and Kevin A. Pelphrey. "Cortical integration of audio–visual speech and non-speech stimuli." Brain and Cognition 74, no. 2 (November 2010): 97–106. http://dx.doi.org/10.1016/j.bandc.2010.07.002.

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26

Stringer, Louise, and Paul Iverson. "Non-native speech recognition sentences: A new materials set for non-native speech perception research." Behavior Research Methods 52, no. 2 (April 22, 2019): 561–71. http://dx.doi.org/10.3758/s13428-019-01251-z.

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27

Bonotti, Matteo. "Religion, hate speech and non-domination." Ethnicities 17, no. 2 (March 9, 2017): 259–74. http://dx.doi.org/10.1177/1468796817692626.

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In this paper, I argue that one way of explaining what is wrong with hate speech is by critically assessing what kind of freedom free speech involves and, relatedly, what kind of freedom hate speech undermines. More specifically, I argue that the main arguments for freedom of speech (e.g. from truth, autonomy and democracy) rely on a ‘positive’ conception of freedom intended as autonomy and self-mastery or as collective self-government, and can only partially help us to understand what is wrong with hate speech. In order to fully grasp the wrongness of hate speech and to justify hate speech legislation, I claim, we need to rely instead on the republican idea of freedom as ‘non-domination’. I conclude that the hate speech used by religious citizens, even though it is a manifestation of their religious freedom, should be subject to the same restrictions that apply to other citizens’ hate speech, because republicans should be concerned with the undominated (i.e. robustly secured) religious freedom of all religious citizens and, more generally, with the undominated freedoms of all citizens, including those who are victims of religious hate speech.

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28

Solé-Casals, Jordi, Vladimir Zaiats, and Enric Monte-Moreno. "Non-Linear and Non-Conventional Speech Processing: Alternative Techniques." Cognitive Computation 2, no. 3 (August 26, 2010): 133–34. http://dx.doi.org/10.1007/s12559-010-9070-3.

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29

Silva, Daniel Márcio Rodrigues, and Samuel C. Bellini-Leite. "Cross-modal correspondences in sine wave: Speech versus non-speech modes." Attention, Perception, & Psychophysics 82, no. 3 (August 14, 2019): 944–53. http://dx.doi.org/10.3758/s13414-019-01835-z.

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30

Takegata, Rika, Seiji Nakagawa, Mitsuo Tonoike, and Risto Näätänen. "Hemispheric processing of duration changes in speech and non-speech sounds." NeuroReport 15, no. 10 (July 2004): 1683–86. http://dx.doi.org/10.1097/01.wnr.0000134929.04561.64.

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31

Bose, Arpita, and Pascal van Lieshout. "Speech-like and non-speech lip kinematics and coordination in aphasia." International Journal of Language & Communication Disorders 47, no. 6 (July 25, 2012): 654–72. http://dx.doi.org/10.1111/j.1460-6984.2012.00171.x.

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32

Shklovsky, V. M., S. A. Varlamov, A. G. Petrushevsky, and L. A. Mayorova. "Speech and Non-Speech Sound Categorization in Auditory Cortex: fMRI Correlates." Human Physiology 45, no. 6 (November 2019): 577–86. http://dx.doi.org/10.1134/s0362119719060124.

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33

Chang, Soo-Eun, Mary Kay Kenney, Torrey M. J. Loucks, and Christy L. Ludlow. "Brain activation abnormalities during speech and non-speech in stuttering speakers." NeuroImage 46, no. 1 (May 15, 2009): 201–12. http://dx.doi.org/10.1016/j.neuroimage.2009.01.066.

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34

Chang, Soo-Eun, Mary Kay Kenney, Torrey M. J. Loucks, Christopher J. Poletto, and Christy L. Ludlow. "Common neural substrates support speech and non-speech vocal tract gestures." NeuroImage 47, no. 1 (August 2009): 314–25. http://dx.doi.org/10.1016/j.neuroimage.2009.03.032.

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35

Jones, Caroline, Lynn Berry, and Catherine Stevens. "Synthesized speech intelligibility and persuasion: Speech rate and non-native listeners." Computer Speech & Language 21, no. 4 (October 2007): 641–51. http://dx.doi.org/10.1016/j.csl.2007.03.001.

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36

Chodroff, Eleanor, and Colin Wilson. "Delayed effects of speech and non-speech stimuli on sibilant categorization." Journal of the Acoustical Society of America 142, no. 4 (October 2017): 2704. http://dx.doi.org/10.1121/1.5014868.

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37

van Wijngaarden, Sander J., Adelbert W. Bronkhorst, Tammo Houtgast, and Herman J. M. Steeneken. "Using the Speech Transmission Index for predicting non-native speech intelligibility." Journal of the Acoustical Society of America 115, no. 3 (March 2004): 1281–91. http://dx.doi.org/10.1121/1.1647145.

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38

Spencer, Nathaniel, Eric R. Thompson, Matthew G. Wisniewski, Brian D. Simpson, and Nandini Iyer. "Auditory training and subsequent generalization with speech and non-speech stimuli." Journal of the Acoustical Society of America 140, no. 4 (October 2016): 3269–70. http://dx.doi.org/10.1121/1.4970377.

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39

Ramirez, J., J. M. Gorriz, J. C. Segura, C. G. Puntonet, and A. J. Rubio. "Speech/non-speech discrimination based on contextual information integrated bispectrum LRT." IEEE Signal Processing Letters 13, no. 8 (August 2006): 497–500. http://dx.doi.org/10.1109/lsp.2006.873147.

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40

Hanilçi, Cemal, and Tomi Kinnunen. "Source cell-phone recognition from recorded speech using non-speech segments." Digital Signal Processing 35 (December 2014): 75–85. http://dx.doi.org/10.1016/j.dsp.2014.08.008.

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41

Jerger, Susan, Markus F. Damian, Nancy Tye-Murray, and Hervé Abdi. "Children use visual speech to compensate for non-intact auditory speech." Journal of Experimental Child Psychology 126 (October 2014): 295–312. http://dx.doi.org/10.1016/j.jecp.2014.05.003.

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42

Sorokin, Alexander, Paavo Alku, and Teija Kujala. "Change and novelty detection in speech and non-speech sound streams." Brain Research 1327 (April 2010): 77–90. http://dx.doi.org/10.1016/j.brainres.2010.02.052.

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43

Conklin, Jenna T., Ashley Kentner, Wai Ling Law, Mengxi Lin, Yuanyuan Wang, and Olga Dmitrieva. "Audience design in non-native speech." Journal of the Acoustical Society of America 137, no. 4 (April 2015): 2384. http://dx.doi.org/10.1121/1.4920672.

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44

Mondini, Michèle, and Joanne L. Miller. "Perceiving non‐native speech: Word segmentation." Journal of the Acoustical Society of America 115, no. 5 (May 2004): 2394. http://dx.doi.org/10.1121/1.4780609.

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45

Buscombe, Peta. "Freedom of speech is non-negotiable." British Journalism Review 21, no. 1 (March 2010): 43–48. http://dx.doi.org/10.1177/0956474810365398.

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46

KIERNAN, C. "NON-SPEECH COMMUNICATIONS IN THE UK." Journal of Intellectual Disability Research 28, no. 1 (June 28, 2008): 1–2. http://dx.doi.org/10.1111/j.1365-2788.1984.tb01598.x.

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47

Schober-Peterson, Debra, and Cynthia J. Johnson. "Non-dialogue speech during preschool interactions." Journal of Child Language 18, no. 1 (February 1991): 153–70. http://dx.doi.org/10.1017/s0305000900013337.

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ABSTRACTYoung children's skilfulness in conversational interaction is of great importance in understanding pragmatic aspects of language development. The purpose of this investigation was to describe the portion of preschool verbal interaction which could not be considered successful dialogue. Ten dyads of four-year-olds were videotaped during free play. Segments of talk were identified as dialogue or non-dialogue. Non-dialogue was coded when one child did not appear to direct his/her utterances to the other or when an attempted topic failed to capture the interest of the other child. Thirteen types of non-dialogue were identified. Results revealed that all dyads exhibited non-dialogue, but differences were noted in regard to amount and type. Dyads labelled as less co-operative displayed greater amounts of self-directed talk (monologue).

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48

Aucouturier, Jean-Julien, and Laurent Daudet. "Pattern recognition of non-speech audio." Pattern Recognition Letters 31, no. 12 (September 2010): 1487–88. http://dx.doi.org/10.1016/j.patrec.2010.05.003.

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49

Drugman, Thomas. "Non-Linear Speech Processing (NOLISP 2013)." Computer Speech & Language 30, no. 1 (March 2015): 1–2. http://dx.doi.org/10.1016/j.csl.2014.11.002.

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50

Veinović, M. DJ, B. D. Kovačević, and M. M. Milosavljević. "Robust non-recursive AR speech analysis." Signal Processing 37, no. 2 (May 1994): 189–201. http://dx.doi.org/10.1016/0165-1684(94)90102-3.

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