Relevant bibliographies by topics / Plosive, stop consonant, model

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Academic literature on the topic 'Plosive, stop consonant, model'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Plosive, stop consonant, model"

1

Eilers, Rebecca, D. K. Oller, Richard Urbano, and Debra Moroff. "Conflicting and Cooperating Cues." Journal of Speech, Language, and Hearing Research 32, no. 2 (June 1989): 307–16. http://dx.doi.org/10.1044/jshr.3202.307.

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Three experiments were conducted to ascertain the relative salience of two cues for final consonant voicing in infants and adults. Experiment 1 was designed to investigate infant perception of periodicity of burst, vowel duration, and the two cues combined in a cooperating pattern. Experiment 2 was designed to examine infant perception of these same cues but in a conflicting pattern, that is, with extended duration associated with the voiceless final plosive. Experiment 3 examined perception of the stimuli from Experiments 1 and 2 with adult subjects. Results indicate that in both adults and infants combined cues facilitate discrimination of the phonemic contrast regardless of whether the cues cooperate or conflict. The three experiments taken together do not support a phonetic interpretation of conflicting/cooperating cues for the perception of final stop consonant voicing. Potential psychoacoustic explanations are discussed.
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WESTERHAUSEN, RENÉ, NELE PÕLDVER, RICHARD NAAR, DOMINIKA RADZIUN, MARIA SILVIA KAAREP, KAIRI KREEGIPUU, KENNETH HUGDAHL, PÄRTEL LIPPUS, and KRISTIINA KOMPUS. "Effect of voicing on perceptual auditory laterality in Estonian and Norwegian native speakers." Applied Psycholinguistics 39, no. 2 (June 27, 2017): 259–73. http://dx.doi.org/10.1017/s0142716417000170.

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ABSTRACTAs a reliable and valid measures of perceptual auditory laterality, dichotic listening has been successfully applied in studies in many countries and languages. However, languages differ in the linguistic relevance of change in initial phoneme of words (e.g., for word identification). In the present cross-language study, we examine the effect of these differences on dichotic-listening task performance to establish how characteristics of one's native language affect the perception of nonnative phonological features. We compared 33 native speakers of Norwegian, a language characterized by a clear distinction between voiced and unvoiced initial plosive consonants, with 30 native speakers of Estonian, a language that has exclusively unvoiced initial phonemes. Using a free-report dichotic-listening paradigm utilizing pairs of voiced (/ba/, /da/, /ga/) and unvoiced (/pa/, /ta/, /ka/) stop-consonant vowels as stimulus material, the Norwegian native speakers were found to be more sensitive to the voicing of the initial plosive than the Estonian group. “Voicing” explained 69% and 18% of the variance in the perceptual auditory laterality in the Norwegian and the Estonian sample, respectively. This indicates that experiential differences, likely during acquisition of the mother tongue in early development, permanently shape the sensitivity to the voicing contrast.
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Schwartz, Geoffrey, Anna Balas, and Arkadiusz Rojczyk. "Stop Release in Polish English — Implications for Prosodic Constituency." Research in Language 12, no. 2 (June 30, 2014): 131–44. http://dx.doi.org/10.2478/rela-2014-0006.

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Although there is little consensus on the relevance of non-contrastive allophonic processes in L2 speech acquisition, EFL pronunciation textbooks cover the suppression of stop release in coda position. The tendency for held stops in English is in stark opposition to a number of other languages, including Polish, in which plosive release is obligatory. This paper presents phonetic data on the acquisition of English unreleased stops by Polish learners. Results show that in addition to showing a tendency for the target language pattern of unreleased plosives, advanced learners may acquire more native-like VC formant transitions. From the functional perspective, languages with unreleased stops may be expected to have robust formant patterns on the final portion of the preceding vowel, which allow listeners to identify the final consonant when it lacks an audible release burst (see e.g. Wright 2004). From the perspective of syllabic positions, it may be said that ‘coda’ stops are obligatorily released in Polish, yet may be unreleased in English. Thus, the traditional term ‘coda’ is insufficient to describe the prosodic properties of post-vocalic stops in Polish and English. These differences may be captured in the Onset Prominence framework (Schwartz 2013). In languages with unreleased stops, the mechanism of submersion places post-vocalic stops at the bottom of the representational hierarchy where they may be subject to weakening. Submersion produces larger prosodic constituents and thus has phonological consequences beyond 'coda' behavior.
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Abbas, Ghulam, and Muhammad Bashir. "Description and Classification of Balti Consonant Stop Sounds." Linguistics and Literature Review 6, no. 1 (June 2020): 1–8. http://dx.doi.org/10.32350/llr.61.01.

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The study aims to describe and classify consonant stop sounds of the Balti language, which is spoken in Gilgit-Baltistan, Pakistan. In order to describe and classify these sounds, 120 words were selected from literature written in the Balti language. A purposive sample of 20 Balti speakers from 16 to 35 years of age, who were studying in various degree programs at Government College for Boys, Model Town, Lahore and University of Management and Technology, Lahore, was selected to record possible Balti consonant stop sounds. The physical features of each consonant stop sound were carried through the software package for speech analysis in phonetics. The study reveals that there are 15 consonant stop sounds in the Balti language. The study helps document the Balti language, which follows mostly a verbal tradition like many other languages of the region.
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Ghulam Abbas and Muhammad Bashir. "Description and Classification of Balti Consonant Stop Sounds." Linguistics and Literature Review 6, no. 1 (March 31, 2020): 01–08. http://dx.doi.org/10.32350/llr.v6i1.571.

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The study aims to describe and classify consonant stop sounds of the Balti language, which is spoken in Gilgit-Baltistan, Pakistan. In order to describe and classify these sounds, 120 words were selected from literature written in the Balti language. A purposive sample of 20 Balti speakers from 16 to 35 years of age, who were studying in various degree programs at Government College for Boys, Model Town, Lahore and University of Management and Technology, Lahore, was selected to record possible Balti consonant stop sounds. The physical features of each consonant stop sound were carried through the software package for speech analysis in phonetics. The study reveals that there are 15 consonant stop sounds in the Balti language. The study helps document the Balti language, which follows mostly a verbal tradition like many other languages of the region.
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6

van Hessen, A. J., and M. E. H. Schouten. "Modeling phoneme perception. II: A model of stop consonant discrimination." Journal of the Acoustical Society of America 92, no. 4 (October 1992): 1856–68. http://dx.doi.org/10.1121/1.403842.

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7

Story, Brad H., and Kate Bunton. "An acoustically-driven vocal tract model for stop consonant production." Speech Communication 87 (March 2017): 1–17. http://dx.doi.org/10.1016/j.specom.2016.12.001.

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8

Hedrick, Mark, and Mary Sue Younger. "Perceptual Weighting of Relative Amplitude and Formant Transition Cues in Aided CV Syllables." Journal of Speech, Language, and Hearing Research 44, no. 5 (October 2001): 964–74. http://dx.doi.org/10.1044/1092-4388(2001/075).

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The current study explored the changes in weighting of relative amplitude and formant transition cues that may be caused by a K-amp circuit. Twelve listeners with normal hearing and 3 listeners with sensorineural hearing loss labeled the stop consonant place of articulation of synthetic consonant-vowel stimuli. Within the stimuli, two acoustic cues were varied: the frequency of the onset of the second and third formant (F2/F3) transitions and the relative amplitude between the consonant burst and the following vowel in the fourth and fifth formant (F4/ F5) frequency region. The variation in the two cues ranged from values appropriate for a voiceless labial stop consonant to a voiceless alveolar stop consonant. The listeners labeled both the unaided stimuli and the stimuli recorded through a hearing aid with a K-amp circuit. An analysis of variance (ANOVA) model was used to calculate the perceptual weight given each cue. Data from listeners with normal hearing show a change in relative weighting of cues between aided and unaided stimuli. Pilot data from the listeners with hearing loss show a more varied pattern, with more weight placed on relative amplitude. These results suggest that calculation of perceptual weights using an ANOVA model may be worthwhile in future studies examining the relationship between acoustic information presented by a hearing aid and the subsequent perception by the listener with hearing loss.
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9

Sekhar, C. C., and B. Yegnanarayana. "A constraint satisfaction model for recognition of stop consonant-vowel (SCV) utterances." IEEE Transactions on Speech and Audio Processing 10, no. 7 (October 2002): 472–80. http://dx.doi.org/10.1109/tsa.2002.804298.

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10

Korvel, Gražina, and Bożena Kostek. "Voiceless Stop Consonant Modelling and Synthesis Framework Based on MISO Dynamic System." Archives of Acoustics 42, no. 3 (September 26, 2017): 375–83. http://dx.doi.org/10.1515/aoa-2017-0039.

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AbstractA voiceless stop consonant phoneme modelling and synthesis framework based on a phoneme modelling in low-frequency range and high-frequency range separately is proposed. The phoneme signal is decomposed into the sums of simpler basic components and described as the output of a linear multiple-input and single-output (MISO) system. The impulse response of each channel is a third order quasi-polynomial. Using this framework, the limit between the frequency ranges is determined. A new limit point searching three-step algorithm is given in this paper. Within this framework, the input of the low-frequency component is equal to one, and the impulse response generates the whole component. The high-frequency component appears when the system is excited by semi-periodic impulses. The filter impulse response of this component model is single period and decays after three periods. Application of the proposed modelling framework for the voiceless stop consonant phoneme has shown that the quality of the model is sufficiently good.
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Dissertations / Theses on the topic "Plosive, stop consonant, model"

1

Bekoz, Alican. "Modeling Of Plosive To Vowel Transitions." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608804/index.pdf.

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This thesis presents a study concerning stop consonant to vowel transitions which are modeled making use of acoustic tube model. Characteristics of the stop consonant to vowel transitions are tried to be obtained first. Therefore several transitions including fricative to vowel transitions are examined based on spectral and time related properties. In addition to these studies, x-ray snapshots, lip videos and also experiments including subjects are used to intensify the characterization, from the production and the perception side of views. As results of these studies the plosive to vowel transitions are observed to be uttered by exponential vocal tract movements and the perception mechanism is observed to be highly related with exponential spectral changes. A model, based on the acoustic tube model, is tried to be established using the knowledge and the experience gained during characterization therefore proposed model involves the vocal tract parameters observed in characterization part. Finally, plosive to vowel transitions including three types of plosives (alveolar, labial and velar) are synthesized by the proposed model. The formants of the synthesized sounds are compared with the formants of the natural sounds. Also the intelligibility tests of these sounds are done. Performance evaluation tests show the proposed model&rsquo
s performance to be satisfactory.
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2

Mou, Xiaomin 1977. "Detection of stop consonant voicing : toward a speaker independent model." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86823.

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3

Story, Brad H., and Kate Bunton. "An acoustically-driven vocal tract model for stop consonant production." ELSEVIER SCIENCE BV, 2017. http://hdl.handle.net/10150/623128.

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The purpose of this study was to further develop a multi-tier model of the vocal tract area function in which the modulations of shape to produce speech are generated by the product of a vowel substrate and a consonant superposition function. The new approach consists of specifying input parameters for a target consonant as a set of directional changes in the resonance frequencies of the vowel substrate. Using calculations of acoustic sensitivity functions, these "resonance deflection patterns" are transformed into time-varying deformations of the vocal tract shape without any direct specification of location or extent of the consonant constriction along the vocal tract. The configuration of the constrictions and expansions that are generated by this process were shown to be physiologically-realistic and produce speech sounds that are easily identifiable as the target consonants. This model is a useful enhancement for area function-based synthesis and can serve as a tool for understanding how the vocal tract is shaped by a talker during speech production. (C) 2016 Elsevier B.V. All rights reserved.
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