Relevant bibliographies by topics / Temporal Representation in speech

Academic literature on the topic 'Temporal Representation in speech'

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Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Temporal Representation in speech"

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Mazoyer, B. M., N. Tzourio, V. Frak, A. Syrota, N. Murayama, O. Levrier, G. Salamon, S. Dehaene, L. Cohen, and J. Mehler. "The Cortical Representation of Speech." Journal of Cognitive Neuroscience 5, no. 4 (October 1993): 467–79. http://dx.doi.org/10.1162/jocn.1993.5.4.467.

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In this study, we compare regional cerebral blood flow (rCBF) while French monolingual subjects listen to continuous speech in an unknown language, to lists of French words, or to meaningful and distorted stories in French. Our results show that, in addition to regions devoted to single-word comprehension, processing of meaningful stories activates the left middle temporal gyrus, the left and right temporal poles, and a superior prefrontal area in the left frontal lobe. Among these regions, only the temporal poles remain activated whenever sentences with acceptable syntax and prosody are presented.
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Bhaya-Grossman, Ilina, and Edward F. Chang. "Speech Computations of the Human Superior Temporal Gyrus." Annual Review of Psychology 73, no. 1 (January 4, 2022): 79–102. http://dx.doi.org/10.1146/annurev-psych-022321-035256.

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Human speech perception results from neural computations that transform external acoustic speech signals into internal representations of words. The superior temporal gyrus (STG) contains the nonprimary auditory cortex and is a critical locus for phonological processing. Here, we describe how speech sound representation in the STG relies on fundamentally nonlinear and dynamical processes, such as categorization, normalization, contextual restoration, and the extraction of temporal structure. A spatial mosaic of local cortical sites on the STG exhibits complex auditory encoding for distinct acoustic-phonetic and prosodic features. We propose that as a population ensemble, these distributed patterns of neural activity give rise to abstract, higher-order phonemic and syllabic representations that support speech perception. This review presents a multi-scale, recurrent model of phonological processing in the STG, highlighting the critical interface between auditory and language systems.
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Young, Eric D. "Neural representation of spectral and temporal information in speech." Philosophical Transactions of the Royal Society B: Biological Sciences 363, no. 1493 (September 7, 2007): 923–45. http://dx.doi.org/10.1098/rstb.2007.2151.

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Speech is the most interesting and one of the most complex sounds dealt with by the auditory system. The neural representation of speech needs to capture those features of the signal on which the brain depends in language communication. Here we describe the representation of speech in the auditory nerve and in a few sites in the central nervous system from the perspective of the neural coding of important aspects of the signal. The representation is tonotopic, meaning that the speech signal is decomposed by frequency and different frequency components are represented in different populations of neurons. Essential to the representation are the properties of frequency tuning and nonlinear suppression. Tuning creates the decomposition of the signal by frequency, and nonlinear suppression is essential for maintaining the representation across sound levels. The representation changes in central auditory neurons by becoming more robust against changes in stimulus intensity and more transient. However, it is probable that the form of the representation at the auditory cortex is fundamentally different from that at lower levels, in that stimulus features other than the distribution of energy across frequency are analysed.
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Mikell, Charles B., and Guy M. McKhann. "Categorical Speech Representation in Human Superior Temporal Gyrus." Neurosurgery 67, no. 6 (December 2010): N19—N20. http://dx.doi.org/10.1227/01.neu.0000390615.58208.a8.

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Chang, Edward F., Jochem W. Rieger, Keith Johnson, Mitchel S. Berger, Nicholas M. Barbaro, and Robert T. Knight. "Categorical speech representation in human superior temporal gyrus." Nature Neuroscience 13, no. 11 (October 3, 2010): 1428–32. http://dx.doi.org/10.1038/nn.2641.

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Hirahara, Tatsuya. "Internal speech spectrum representation by spatio-temporal masking pattern." Journal of the Acoustical Society of Japan (E) 12, no. 2 (1991): 57–68. http://dx.doi.org/10.1250/ast.12.57.

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Moore, Brian C. J. "Basic auditory processes involved in the analysis of speech sounds." Philosophical Transactions of the Royal Society B: Biological Sciences 363, no. 1493 (September 7, 2007): 947–63. http://dx.doi.org/10.1098/rstb.2007.2152.

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This paper reviews the basic aspects of auditory processing that play a role in the perception of speech. The frequency selectivity of the auditory system, as measured using masking experiments, is described and used to derive the internal representation of the spectrum (the excitation pattern) of speech sounds. The perception of timbre and distinctions in quality between vowels are related to both static and dynamic aspects of the spectra of sounds. The perception of pitch and its role in speech perception are described. Measures of the temporal resolution of the auditory system are described and a model of temporal resolution based on a sliding temporal integrator is outlined. The combined effects of frequency and temporal resolution can be modelled by calculation of the spectro-temporal excitation pattern, which gives good insight into the internal representation of speech sounds. For speech presented in quiet, the resolution of the auditory system in frequency and time usually markedly exceeds the resolution necessary for the identification or discrimination of speech sounds, which partly accounts for the robust nature of speech perception. However, for people with impaired hearing, speech perception is often much less robust.
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Koromilas, Panagiotis, and Theodoros Giannakopoulos. "Deep Multimodal Emotion Recognition on Human Speech: A Review." Applied Sciences 11, no. 17 (August 28, 2021): 7962. http://dx.doi.org/10.3390/app11177962.

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This work reviews the state of the art in multimodal speech emotion recognition methodologies, focusing on audio, text and visual information. We provide a new, descriptive categorization of methods, based on the way they handle the inter-modality and intra-modality dynamics in the temporal dimension: (i) non-temporal architectures (NTA), which do not significantly model the temporal dimension in both unimodal and multimodal interaction; (ii) pseudo-temporal architectures (PTA), which also assume an oversimplification of the temporal dimension, although in one of the unimodal or multimodal interactions; and (iii) temporal architectures (TA), which try to capture both unimodal and cross-modal temporal dependencies. In addition, we review the basic feature representation methods for each modality, and we present aggregated evaluation results on the reported methodologies. Finally, we conclude this work with an in-depth analysis of the future challenges related to validation procedures, representation learning and method robustness.
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Poeppel, David, William J. Idsardi, and Virginie van Wassenhove. "Speech perception at the interface of neurobiology and linguistics." Philosophical Transactions of the Royal Society B: Biological Sciences 363, no. 1493 (September 21, 2007): 1071–86. http://dx.doi.org/10.1098/rstb.2007.2160.

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Speech perception consists of a set of computations that take continuously varying acoustic waveforms as input and generate discrete representations that make contact with the lexical representations stored in long-term memory as output. Because the perceptual objects that are recognized by the speech perception enter into subsequent linguistic computation, the format that is used for lexical representation and processing fundamentally constrains the speech perceptual processes. Consequently, theories of speech perception must, at some level, be tightly linked to theories of lexical representation. Minimally, speech perception must yield representations that smoothly and rapidly interface with stored lexical items. Adopting the perspective of Marr, we argue and provide neurobiological and psychophysical evidence for the following research programme. First, at the implementational level, speech perception is a multi-time resolution process, with perceptual analyses occurring concurrently on at least two time scales (approx. 20–80 ms, approx. 150–300 ms), commensurate with (sub)segmental and syllabic analyses, respectively. Second, at the algorithmic level, we suggest that perception proceeds on the basis of internal forward models, or uses an ‘analysis-by-synthesis’ approach. Third, at the computational level (in the sense of Marr), the theory of lexical representation that we adopt is principally informed by phonological research and assumes that words are represented in the mental lexicon in terms of sequences of discrete segments composed of distinctive features. One important goal of the research programme is to develop linking hypotheses between putative neurobiological primitives (e.g. temporal primitives) and those primitives derived from linguistic inquiry, to arrive ultimately at a biologically sensible and theoretically satisfying model of representation and computation in speech.
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Martínez, C., J. Goddard, D. Milone, and H. Rufiner. "Bioinspired sparse spectro-temporal representation of speech for robust classification." Computer Speech & Language 26, no. 5 (October 2012): 336–48. http://dx.doi.org/10.1016/j.csl.2012.02.002.

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Dissertations / Theses on the topic "Temporal Representation in speech"

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Davies, David Richard Llewellyn, and dave davies@canberra edu au. "Representing Time in Automated Speech Recognition." The Australian National University. Research School of Information Sciences and Engineering, 2003. http://thesis.anu.edu.au./public/adt-ANU20040602.163031.

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This thesis explores the treatment of temporal information in Automated Speech Recognition. It reviews the study of time in speech perception and concludes that while some temporal information in the speech signal is of crucial value in the speech decoding process not all temporal information is relevant to decoding. We then review the representation of temporal information in the main automated recognition techniques: Hidden Markov Models and Artificial Neural Networks. We find that both techniques have difficulty representing the type of temporal information that is phonetically or phonologically significant in the speech signal. In an attempt to improve this situation we explore the problem of representation of temporal information in the acoustic vectors commonly used to encode the speech acoustic signal in the front-ends of speech recognition systems. We attempt, where possible, to let the signal provide the temporal structure rather than imposing a fixed, clock-based timing framework. We develop a novel acoustic temporal parameter (the Parameter Similarity Length), a measure of temporal stability, that is tested against the time derivatives of acoustic parameters conventionally used in acoustic vectors.
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Leach, Corinne. "MANIPULATING TEMPORAL COMPONENTS DURING SINGLE-WORD PROCESSING TO FACILITATE ACCESS TO STORED ORTHOGRAPHIC REPRESENTATIONS IN LETTER-BY-LETTER READERS." Master's thesis, Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/574233.

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This study investigated the benefits of rapid presentation of written words as a treatment strategy to enhance reading speed and accuracy in two participants with acquired alexia who are letter-by-letter readers. Previous studies of pure alexia have shown that when words are rapidly presented, participants can accurately perform lexical decision and category judgment tasks, yet they are unable to read words aloud. These studies suggest that rapid presentation of words could be used as a treatment technique to promote whole-word reading. It was predicted that treatment utilizing rapid presentation (250/500 ms) will increase reading speed and accuracy of both trained and untrained words compared to the words trained in standard presentation (5000 ms). A single-subject ABACA/ACABA multiple baseline treatment design was used. Treatment was provided twice per week for four weeks for both rapid and standard presentation treatment. Each session comprised a spoken-to-written word decision task and semantic category judgment task. Stimuli included 80 trained words divided between the two treatments and 20 untrained controls. Weekly probes to assess reading accuracy were administered after every two treatment sessions. Based on effect sizes, results showed no consistent unambiguous benefit for rapid or standard presentation treatment. However, possible generalization to untrained words due to rapid presentation treatment was observed. Future research is warranted to investigate the effectiveness of rapid presentation treatment in letter-by-letter readers.
Temple University--Theses
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Hernandez, Sierra Gabriel. "Métodos de representación y verificación del locutor con independencia del texto." Thesis, Avignon, 2014. http://www.theses.fr/2014AVIG0203/document.

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La reconnaissance automatique du locuteur indépendante du texte est une méthode récente dans le domaine des systèmes biométriques. Le développement de la reconnaissance du locuteur se reflète tout autant dans la participation croissante aux compétitions internationales et dans les progrès en termes de performance relevés dans ces campagnes. Cependant la précision des méthodes reste limitée par la quantité d'information discriminante du locuteur présente dans les représentations informatiques des énoncés vocaux. Cette thèse présente une étude sur ces représentations. Elle identifie deux faiblesses principales. Tout d’abord, les représentations usuelles ignorent les paramètres temporels de la voix pourtant connus pour leur pouvoir discriminant. Par ailleurs, ces représentations reposent sur le paradigme de l’apprentissage statistique et diminuent l’importance d’événements rares dans une population de locuteurs, mais fréquents dans un locuteur donné.Pour répondre à ces verrous, cette thèse propose une nouvelle représentation des énoncés. Celle-ci projette chaque vecteur acoustique dans un large espace binaire intrinsèquement discriminant du locuteur. Une mesure de similitude associée à une représentation globale (vecteurs cumulatifs) est également proposée. L’approche proposée permet ainsi à la fois de représenter des événements rares mais pertinents et de travailler sur des informations temporelles. Cette approche permet de tirer parti des solutions de compensation de la variabilité « session », qui provient de l’ensemble des facteurs indésirables, exploitées dans les approches de type « iVector ». Dans ce domaine, des améliorations aux algorithmes de l’état de l’art ont été proposées.Une solution originale permettant d’exploiter l’information temporelle à l’intérieur de cette représentation binaire a été proposée. La complémentarité des sources d’information a été attestée par un gain en performance relevé grâce à une fusion linéaire des deux types d’information, indépendant et dépendant de la séquence temporelle
Text-independent automatic speaker recognition is a recent method in biometric area. Its increasing interest is reflected both in the increasing participation in international competitions and in the performance progresses. Moreover, the accuracy of the methods is still limited by the quantity of speaker discriminant information contained in the representations of speech utterances. This thesis presents a study on speech representation for speaker recognition systems. It shows firstly two main weaknesses. First, it fails to take into account the temporal behavior of the voice, which is known to contain speaker discriminant information. Secondly, speech events rare in a large population of speakers although very present for a given speaker are hardly taken into account by these approaches, which is contradictory when the goal is to discriminate among speakers.In order to overpass these limitations, we propose in this thesis a new speech representation for speaker recognition. This method represents each acoustic vector in a a binary space which is intrinsically speaker discriminant. A similarity measure associated with a global representation (cumulative vectors) is also proposed. This new speech utterance representation is able to represent infrequent but discriminant events and to work on temporal information. It allows also to take advantage of existing « session » variability compensation approaches (« session » variability represents all the negative variability factors). In this area, we proposed also several improvements to the usual session compensation algorithms. An original solution to deal with the temporal information inside the binary speech representation was also proposed. Thanks to a linear fusion approach between the two sources of information, we demonstrated the complementary nature of the temporal information versus the classical time independent representations
El reconocimiento automático del locutor independiente del texto, es un método dereciente incorporación en los sistemas biométricos. El desarrollo y auge del mismo serefleja en las competencias internacionales, pero aun la eficacia de los métodos de reconocimientose encuentra afectada por la cantidad de información discriminatoria dellocutor que esta presente en las representaciones actuales de las expresiones de voz.En esta tesis se realizó un estudio donde se identificaron dos principales debilidadespresentes en las representaciones actuales del locutor. En primer lugar, no se tiene encuenta el comportamiento temporal de la voz, siendo este un rasgo discriminatorio dellocutor y en segundo lugar los eventos pocos frecuentes dentro de una población delocutores pero frecuentes en un locutor dado, apenas son tenidos en cuenta por estosenfoques, lo cual es contradictorio cuando el objetivo es discriminar los locutores. Motivadopor la solución de estos problemas, se confirmó la redundancia de informaciónexistente en las representaciones actuales y la necesidad de emplear nuevas representacionesde las expresiones de voz. Se propuso un nuevo enfoque con el desarrollo de unmétodo para la obtención de un modelo generador capaz de transformar la representación actual del espacio acústico a una representación en un espacio binario, dondese propuso una medida de similitud asociada con una representación global (vectoracumulativo) que contiene tanto los eventos frecuentes como los pocos frecuentes enuna expresión de voz. Para la compensación de la variabilidad de sesión se incorporóen la matriz de dispersión intra-clase, la información común de la población de locutores,lo que implicó la modificación de tres algoritmos de la literatura que mejoraronsu desempeño respecto a la eficacia en el reconocimiento del locutor, tanto utilizandoel nuevo enfoque propuesto como el enfoque actual de referencia. La información temporalexistente en las expresiones de voz fue capturada e incorporada en una nuevarepresentación, mejorando aun más la eficacia del enfoque propuesto. Finalmente sepropuso y evaluó una fusión lineal entre los dos enfoques que demostró la informacióncomplementaria existente entre ellos, obteniéndose los mejores resultados de eficaciaen el reconocimiento del locutor
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Sun, Felix (Felix W. ). "Speech Representation Models for Speech Synthesis and Multimodal Speech Recognition." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106378.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 59-63).
The field of speech recognition has seen steady advances over the last two decades, leading to the accurate, real-time recognition systems available on mobile phones today. In this thesis, I apply speech modeling techniques developed for recognition to two other speech problems: speech synthesis and multimodal speech recognition with images. In both problems, there is a need to learn a relationship between speech sounds and another source of information. For speech synthesis, I show that using a neural network acoustic model results in a synthesizer that is more tolerant of noisy training data than previous work. For multimodal recognition, I show how information from images can be effectively integrated into the recognition search framework, resulting in improved accuracy when image data is available.
by Felix Sun.
M. Eng.
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Mansfield, Rachel. "Temporal Abstract Behavioral Representation Model." Honors in the Major Thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1181.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.
Bachelors
Engineering and Computer Science
Electrical Engineering
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Howard, John Graham. "Temporal aspects of auditory-visual speech and non-speech perception." Thesis, University of Reading, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553127.

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This thesis concentrates on the temporal aspects of the auditory-visual integratory perceptual experience described above. It is organized in two parts, a literature review, followed by an experimentation section. After a brief introduction (Chapter One), Chapter Two begins by considering the evolution of the earliest biological structures to exploit information in the acoustic and optic environments. The second part of the chapter proposes that the auditory-visual integratory experience might be a by-product of the earliest emergence of spoken language. Chapter Three focuses on human auditory and visual neural structures. It traces the auditory and visual systems of the modem human brain through the complex neuroanatomical forms that construct their pathways, through to where they finally integrate into the high-level multi-sensory association areas. Chapter Four identifies two distinct investigative schools that have each reported on the auditory-visual integratory experience. We consider their different experimental methodologies and a number of architectural and information processing models that have sought to emulate human sensory, cognitive and perceptual processing, and ask how far they can accommodate a bi-sensory integratory processing. Chapter Five draws upon empirical data to support the importance of the temporal dimension of sensory forms in information processing, especially bimodal processing. It considers the implications of different modalities processing differently discontinuous afferent information within different time-frames. It concludes with a discussion of a number of models of biological clocks that have been proposed as essential temporal regulators of human sensory experience. In Part Two, the experiments are presented. Chapter Six provides the general methodology, and in the following Chapters a series of four experiments is reported upon. The experiments follow a logical sequence, each being built upon information either revealed or confirmed in results previously reported. Experiments One, Three, and Four required a radical reinterpretation of the 'fast-detection' paradigm developed for use in signal detection theory. This enables the work of two discrete investigative schools in auditory-visual processing to be brought together. The use of this modified paradigm within an appropriately designed methodology produces experimental results that speak directly to both the 'speech versus non-speech' debate and also to gender studies.
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Payne, Nicole, and Saravanan Elangovan. "Musical Training Influences Temporal Processing of Speech and Non-Speech Contrasts." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etsu-works/1565.

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Schramm, Cheryl (Cheryl Joanne) Carleton University Dissertation Engineering Electrical. "A temporal representation for multimedia radiological reports." Ottawa, 1989.

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Igualada, Pérez Alfonso. "Gesture-speech temporal integration in language development." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/670094.

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In everyday interactions, speakers integrate gestures and speech sounds at a temporal level. One of the linguistic functions of temporally synchronous gesture-speech combinations is to provide prominence to specific parts of a discourse. While a bulk of evidence has explored the gesture-speech co-expressiveness at a semantic level, little is known about the children’s ability to use synchronized gestural and prosodic prominences in the benefit of language. This PhD thesis investigates gesture-speech temporal integration abilities in development and its beneficial impact for children’s language. The dissertation includes three independent studies at different time points in development, each one described in one chapter. The first two studies aim at investigating the role of perceiving gesture-speech temporal synchronizations functioning as markers of prominence, and its linkage to language abilities. First, a study investigated whether three- to- five- year- old children responded better to a word recall task when the word was presented with a contrast of prominence expressed with a synchronous beat gesture (i.e., a hand gesture synchronized with prominence in speech). The results indicated a beneficial local effect of the beat gesture on the recall of the temporally synchronous word. Second, a study examined whether six- to- eight- year-old children processed pragmatic inferences online more rapidly when the relevant information was presented together with a beat gesture. Additionally, this study investigated whether these potential benefits were due to the prominence expressed in the gesture or to its concomitant prosodic prominence. Results showed that children’s processing of a pragmatic inference was improved by both prosodic and beat gesture prominence contributions to the discourse. The last study focused on the predictive role of the first infant’s uses of temporally synchronous gesture-speech combinations on later language development. To do so, a longitudinal study correlated the infants’ production of synchronous pointing gesture-speech combinations during controlled socio-communicative interactions at 12 months with linguistic measures at 18 months. Results demonstrated that synchronous productions positively correlated with lexical and grammatical development at 18 months of age. Overall, the three studies show evidence that infant's synchronous gesture-speech abilities (a) function as multimodal markers of prominence; (b) when perceived in a discourse context synchronies have positive impact on children’s word recall (Study 1) and pragmatic inference resolution (Study 2); and (c) infants’ first productions of synchronous gesture-speech combinations serve a communicative strategy which is correlated to later language abilities (Study 3). The findings of the studies presented in this thesis point out the importance of synchronous gesture-speech combinations in highlighting information, as well as their beneficial effects in language acquisition.
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Wlodarczak, Marcin [Verfasser]. "Temporal entrainment in overlapping speech / Marcin Wlodarczak." Bielefeld : Universitätsbibliothek Bielefeld, 2014. http://d-nb.info/1047666359/34.

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Books on the topic "Temporal Representation in speech"

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Covey, Ellen, Harold L. Hawkins, and Robert F. Port, eds. Neural Representation of Temporal Patterns. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1919-5.

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Bestougeff, Helene. Logical tools for temporal knowledge representation. New York: Ellis Horwood, 1992.

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Bestougeff, Hélène. Logical tools for temporal knowledge representation. New York: Ellis Horwood, 1992.

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Oliviero, Stock, ed. Spatial and temporal reasoning. Dordrecht: Kluwer Academic Publishers, 1997.

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Vandelanotte, Lieven. Speech and Thought Representation in English. Berlin, New York: Mouton de Gruyter, 2009. http://dx.doi.org/10.1515/9783110215373.

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Datta, Asoke Kumar. Time Domain Representation of Speech Sounds. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2303-4.

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Poidevin, Robin Le. The images of time: An essay on temporal representation. Oxford: Oxford University Press, 2009.

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Poidevin, Robin Le. The images of time: An essay on temporal representation. Oxford: Oxford University Press, 2007.

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Poidevin, Robin Le. The images of time: An essay on temporal representation. Oxford: Oxford University Press, 2009.

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Poidevin, Robin Le. The images of time: An essay on temporal representation. Oxford: Oxford University Press, 2009.

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Book chapters on the topic "Temporal Representation in speech"

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Sorin, Christel. "Psychophysical Representation of Stop Consonant and Temporal Masking in Speech." In The Psychophysics of Speech Perception, 241–49. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3629-4_19.

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Espinoza-Varas, B. "Levels of Representation of Phonemes and Bandwidth of Spectral-Temporal Integration." In The Psychophysics of Speech Perception, 80–90. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3629-4_5.

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Ko, Wonjun, Eunjin Jeon, and Heung-Il Suk. "Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition." In Lecture Notes in Computer Science, 335–46. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-02444-3_25.

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Lee, Seo-Hyun, Minji Lee, and Seong-Whan Lee. "EEG Representations of Spatial and Temporal Features in Imagined Speech and Overt Speech." In Lecture Notes in Computer Science, 387–400. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41299-9_30.

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Ibrahim, Rasha A., and Ian C. Bruce. "Effects of Peripheral Tuning on the Auditory Nerve’s Representation of Speech Envelope and Temporal Fine Structure Cues." In The Neurophysiological Bases of Auditory Perception, 429–38. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5686-6_40.

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Rodman, Hillary R., and Charles G. Gross. "Temporal Cortex." In Speech and Language, 69–71. Boston, MA: Birkhäuser Boston, 1989. http://dx.doi.org/10.1007/978-1-4899-6774-9_31.

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Visser, Ubbo. "Temporal Representation and Reasoning." In Intelligent Information Integration for the Semantic Web, 93–121. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28636-3_6.

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Chountas, Panagiotis, Ilias Petrounias, Krassimir Atanassov, Vassilis Kodogiannis, and Elia El-Darzi. "Representation of Temporal Unawareness." In Advances in Information Systems, 21–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36077-8_3.

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Beigi, Homayoon. "Signal Representation of Speech." In Fundamentals of Speaker Recognition, 75–105. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-77592-0_3.

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Bray, Joe. "The Representation of Speech." In The Language of Jane Austen, 31–55. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72162-0_3.

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Conference papers on the topic "Temporal Representation in speech"

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Zhang, Li, Qing Wang, and Lei Xie. "Duality Temporal-Channel-Frequency Attention Enhanced Speaker Representation Learning." In 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). IEEE, 2021. http://dx.doi.org/10.1109/asru51503.2021.9688243.

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Sekma, Manel, Mahmoud Mejdoub, and Chokri Ben Amar. "Spatio-temporal pyramidal accordion representation for human action recognition." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6853801.

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Liu, Jiaxing, Zhilei Liu, Longbiao Wang, Yuan Gao, Lili Guo, and Jianwu Dang. "Temporal Attention Convolutional Network for Speech Emotion Recognition with Latent Representation." In Interspeech 2020. ISCA: ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-1520.

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Guo, Lili, Longbiao Wang, Chenglin Xu, Jianwu Dang, Eng Siong Chng, and Haizhou Li. "Representation Learning with Spectro-Temporal-Channel Attention for Speech Emotion Recognition." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414006.

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Priya, Bhanu, and S. Dandapat. "Stressed speech analysis using sparse representation over temporal information based dictionary." In 2015 Annual IEEE India Conference (INDICON). IEEE, 2015. http://dx.doi.org/10.1109/indicon.2015.7443328.

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Niu, Mingyue, Jianhua Tao, Ya Li, Jian Huang, and Zheng Lian. "Discriminative Video Representation with Temporal Order for Micro-expression Recognition." In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8682295.

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HARTLEY, TOM. "SYLLABIC PHASE: A BOTTOM-UP REPRESENTATION OF THE TEMPORAL STRUCTURE OF SPEECH." In Proceedings of the Seventh Neural Computation and Psychology Workshop. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812777256_0022.

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Lavania, Chandrashekhar, Shiva Sundaram, Sundararajan Srinivasan, and Katrin Kirchhoff. "Enhancing Contrastive Learning with Temporal Cognizance for Audio-Visual Representation Generation." In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. http://dx.doi.org/10.1109/icassp43922.2022.9747361.

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Huang, Guoxi, and Adrian G. Bors. "Learning Spatio-Temporal Representations With Temporal Squeeze Pooling." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9054200.

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Liu, Yang, Jing Liu, Xiaoguang Zhu, Donglai Wei, Xiaohong Huang, and Liang Song. "Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention." In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. http://dx.doi.org/10.1109/icassp43922.2022.9746822.

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Reports on the topic "Temporal Representation in speech"

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Levandoski, J., and G. Abdulla. Temporal Representation in Semantic Graphs. Office of Scientific and Technical Information (OSTI), August 2007. http://dx.doi.org/10.2172/923616.

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Gordon, Peter C. Perception and the Temporal Properties of Speech. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada261439.

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Chi, Taishih, Yujie Gao, Matthew C. Guyton, Powen Ru, and Shihab Shamma. Spectro-Temporal Modulation Transfer Functions and Speech Intelligibility. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada439776.

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Eder, E., and C. Harrison. A Graphical Representation of Temporal Data from Simulations. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/885393.

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Bell, Colin E. Temporal Knowledge Representation and Reasoning for Project Planning. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada196075.

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Kirsch, Dixon. Temporal Characteristics of Fluent Speech in the Stuttered Utterances of Children. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7197.

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Lutz, Carsten. Interval-based Temporal Reasoning with General TBoxes. Aachen University of Technology, 2000. http://dx.doi.org/10.25368/2022.109.

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Aus der Motivation: Description Logics (DLs) are a family of formalisms well-suited for the representation of and reasoning about knowledge. Whereas most Description Logics represent only static aspects of the application domain, recent research resulted in the exploration of various Description Logics that allow to, additionally, represent temporal information, see [4] for an overview. The approaches to integrate time differ in at least two important aspects: First, the basic temporal entity may be a time point or a time interval. Second, the temporal structure may be part of the semantics (yielding a multi-dimensional semantics) or it may be integrated as a so-called concrete domain. Examples for multi-dimensional point-based logics can be find in, e.g., [21;29], while multi-dimensional interval-based logics are used in, e.g., [23;2]. The concrete domain approach needs some more explanation. Concrete domains have been proposed by Baader and Hanschke as an extension of Description Logics that allows reasoning about 'concrete qualities' of the entities of the application domain such as sizes, length, or weights of real-worlds objects [5]. Description Logics with concrete domains do usually not use a fixed concrete domain; instead the concrete domain can be thought of as a parameter to the logic. As was first described in [16], if a 'temporal' concrete domain is employed, then concrete domains may be point-based, interval-based, or both.
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Kularatne, Dhanushka N., Subhrajit Bhattacharya, and M. Ani Hsieh. Computing Energy Optimal Paths in Time-Varying Flows. Drexel University, 2016. http://dx.doi.org/10.17918/d8b66v.

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Autonomous marine vehicles (AMVs) are typically deployed for long periods of time in the ocean to monitor different physical, chemical, and biological processes. Given their limited energy budgets, it makes sense to consider motion plans that leverage the dynamics of the surrounding flow field so as to minimize energy usage for these vehicles. In this paper, we present two graph search based methods to compute energy optimal paths for AMVs in two-dimensional (2-D) time-varying flows. The novelty of the proposed algorithms lies in a unique discrete graph representation of the 3-D configuration space spanned by the spatio-temporal coordinates. This enables a more efficient traversal through the search space, as opposed to a full search of the spatio-temporal configuration space. Furthermore, the proposed strategy results in solutions that are closer to the global optimal when compared to greedy searches through the spatial coordinates alone. We demonstrate the proposed algorithms by computing optimal energy paths around the Channel Islands in the Santa Barbara bay using time-varying flow field forecasts generated by the Regional Ocean Model System. We verify the accuracy of the computed paths by comparing them with paths computed via an optimal control formulation.
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Бережна, Маргарита Василівна. Translator’s Gender in the Target Text. Publishing House “Baltija Publishing”, 2020. http://dx.doi.org/10.31812/123456789/4140.

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For the last three decades, the issue of translator’s gender and its representation in the target text has been actively researched in translation studies. Over the period there appeared numerous, sometimes contradicting views on markers of feminine / masculine / other types of speech, on whether the translator’s gender is revealed in the target text, and on the quality of translation depending on the translator’s gender. The present paper focuses on the translator’s gender markers in the target text. Taking into account the results of other linguists and my own observations, I consider the researched units being either definite or ambiguous markers of the translator’s gender. I want to bring to light gender differences in two Ukrainian translations (female translation by Natalia Tysovska and male translation by Viacheslav Brodovyi) of George R.R. Martin’s A Game of Thrones. The semantic, pragmatic and stylistic shifts in the target text conditioned by the translator’s gender and gender stereotypes blur the sense of the source text. Thus, such shifts should be regarded as unwanted changes and better be avoided.
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Midak, Lilia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, Jurij D. Pahomov, Victor M. Lutsyshyn, and Aleksandr D. Uchitel. Augmented reality technology within studying natural subjects in primary school. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3746.

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The purpose of the research is creation of mobile app (supported by Android) for visualization of chemical structure of water and to display video- data of laboratory experiments that can be used by the teacher and pupils for an effective background for learning natural cycle subjects and performance of laboratory experiments in the elementary school using lapbook. As a result of work, aimed at visualizing the education material, a free mobile app LiCo.STEM was developed; it can be downloaded from the overall-available resource Google Play Market. Representation of the developed video materials on the mobile gadgets is conducted by “binding” them to individual images- “markers” for every laboratory experiment. Applying such technologies gives an opportunity to establish educational activity, based on interference of adults with children, oriented on interests and abilities of each kid, development of curiosity, cognitive motivation and educational energy; development of imagination, creative initiative, including the speech, ability to chose the materials, types of work, participants of the common activity, promotion of conditions for parents participate in the common study activity.
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