Academic literature on the topic 'Voice onset times'

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Journal articles on the topic "Voice onset times"

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Öğüt, Fatih, Mehmet Akif Kiliç, Erkan Zeki Engin, and Raşit Midilli. "Voice onset times for Turkish stop consonants." Speech Communication 48, no. 9 (September 2006): 1094–99. http://dx.doi.org/10.1016/j.specom.2006.02.003.

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Rosner, Burton S., Luis E. López-Bascuas, José E. Garcı́a-Albea, and Richard P. Fahey. "Voice-onset times for Castilian Spanish initial stops." Journal of Phonetics 28, no. 2 (April 2000): 217–24. http://dx.doi.org/10.1006/jpho.2000.0113.

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Shuster, Linda I. "Motor-Motor Adaptation to Speech: Further Investigations." Perceptual and Motor Skills 71, no. 1 (August 1990): 275–80. http://dx.doi.org/10.2466/pms.1990.71.1.275.

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The two experiments described in this paper were designed to investigate further the phenomenon called motor-motor adaptation. In the first investigation, subjects were adapted while noise was presented through headphones, which prevented them from hearing themselves. In the second experiment, subjects repeated an isolated vowel, as well as a consonant-vowel syllable which contained a stop consonant. The findings indicated that motor-motor adaptation is not a product of perceptual adaptation, and it is not a result of subjects producing longer voice onset times after adaptation to a voiced consonant rather than shorter voice onset times after adaptation to a voiceless consonant.
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Repp, Bruno H., and Hwei-Bing Lin. "Effects of preceding context on discrimination of voice onset times." Perception & Psychophysics 45, no. 4 (July 1989): 323–32. http://dx.doi.org/10.3758/bf03204947.

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Whalen, D. H., Arthur S. Abramson, Leigh Lisker, and Maria Mody. "F0 gives voicing information even with unambiguous voice onset times." Journal of the Acoustical Society of America 93, no. 4 (April 1993): 2152–59. http://dx.doi.org/10.1121/1.406678.

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Viswanath, Nagalapura S., and David B. Rosenfield. "Preponderance of Lead Voice Onset Times in Stutterers Under Varying Constraints." Communication Disorders Quarterly 22, no. 1 (December 2000): 49–55. http://dx.doi.org/10.1177/152574010002200107.

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Swartz, Bradford L. "Resistance of Voice Onset Time Variability to Intoxication." Perceptual and Motor Skills 75, no. 2 (October 1992): 415–24. http://dx.doi.org/10.2466/pms.1992.75.2.415.

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Voice onset times of /d/ and /t/ were measured for 16 adult subjects (age range 21 to 26 years) under conditions of sobriety and intoxication. Subjects consumed beer to reach intoxication levels between 0.075 and 0.100% as measured using a portable breathalyzer test. Analysis indicated consistent variabilities over time for each subject and resistance of VOT variability to alcohol influence.
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Park, Soo Hee, and Kyuchul Yoon. "A Study on the Voice Onset Times of the Buckeye Corpus Stops." Phonetics and Speech Sciences 8, no. 1 (March 31, 2016): 9–17. http://dx.doi.org/10.13064/ksss.2016.8.1.009.

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Han, Ji-Hye, Fawen Zhang, Darren S. Kadis, Lisa M. Houston, Ravi N. Samy, Michael L. Smith, and Andrew Dimitrijevic. "Auditory cortical activity to different voice onset times in cochlear implant users." Clinical Neurophysiology 127, no. 2 (February 2016): 1603–17. http://dx.doi.org/10.1016/j.clinph.2015.10.049.

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Rami, Manish K., Joseph Kalinowski, Andrew Stuart, and Michael P. Rastatter. "Voice onset times and burst frequencies of four velar stop consonants in Gujarati." Journal of the Acoustical Society of America 106, no. 6 (December 1999): 3736–38. http://dx.doi.org/10.1121/1.428226.

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Dissertations / Theses on the topic "Voice onset times"

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Thomas, Kathy Wright. "Voice Onset Time Characteristics of Selected Phonemes in Young and Old Male Speakers." Thesis, North Texas State University, 1985. https://digital.library.unt.edu/ark:/67531/metadc500707/.

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The purpose of the investigation was to compare mean voice onset time in young and old male subjects, as well as to examine variability of VOT productions with age for prevocalic bilabial, alveolar, and velar voiced and voiceless stop consonants. Forty-five Caucasion.males were divided equally into three.age groups. Ten tokens of six stimulus words were recorded and wide band spectrograms were made. Results of an analysis of variance revealed no significant differences in VOT with age when averages of the phonemes were used for analysis; however, a significant interaction between age and voiced phonemes was found when individual trials of phoneme productions were used for analysis.
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Budkowski, Emily T. "VOICE ONSET TIME IN PARKINSON DISEASE." Bowling Green State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1174747354.

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Arnold, Amanda, Lisa Phillips, Lindsay Pickler, Whitney White, Amanda McCamey, and Christopher McCrea. "Voice Onset Time as a Clinical Indicator of Hypofunctional Voice Disorders." Digital Commons @ East Tennessee State University, 2008. https://dc.etsu.edu/etsu-works/1960.

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The purpose of this study was to measure and compare the voice onset times (VOTs) of healthy individuals using a normal and breathy voice in an effort to determine if VOT can be used as a noninvasive clinical indicator of laryngeal function. Recordings were made of 20 adults between the ages of 20-48 with normal laryngeal function, each using a normal (Group 1) and breathy voice (Group 2). The participants’ productions were designed and collected in such a manner to control for speaking rate, vowel context, pitch, and loudness; all of which have been shown to influence VOT. A mixed analyses of variance showed that hypofunctional productions demonstrated longer VOTs across all stop consonants when compared to normal productions. Within the stops, a significant difference between the voiced and voiceless stops was noted, although no gender differences were found. It was concluded that VOT can be used as an indirect clinical indicator of laryngeal function.
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Andersson, Marie, and Elin Nordin. "Voice Onset Time among Children with Phonological Impairment." Thesis, Linköpings universitet, Logopedi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78467.

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Speech production requires cooperation between cognitive, linguistic and motor processes. It also requires spatial and temporal control of muscles, as well as simultaneous and coordinated activity of respiration, phonation and articulation (Cheng, Murdoch, Goozée & Scott, 2007; Yorkston, Beukelman, Strand & Bell, 1999; Raphael, Borden & Harris, 2011). Voice Onset Time (VOT) reflects the timing between phonation and articulation (Hoit-Dalgaard, Murry & Kopp, 1983). VOT is the most reliable acoustic cue for distinguishing between voiceless or voiced plosives (Auzou et al. 2000). Studies of English-speaking children with phonological impairment have shown atypical VOT-patterns (Bond & Wilson, 1980). The aim of the present study was to investigate Voice Onset Time (VOT) among Swedish children with phonological impairment and to examine if their VOT-values differ from typically developed Swedish children. Participants were 38 children aged 4;2−11;6 distributed over eight age- groups and five developmental stages of phonology. Audio recordings of minimal pairs were made at preschools, schools or at speech pathology clinics. The results indicated that children with phonological impairment produced VOT with deviant values and with a great variability. A marked acoustic difference between voiceless and voiced stop consonants was present, but not in all cases. Since the VOT-values were distributed over the group of children with phonological impairment, no developmental trend toward adult-like values that could be related to increasing age was found for either the acquisition of producing VOT or the acquisition of producing voicing lead. No differences in VOT were seen between the children in different phonological developmental stages or ages. No correlation between the degree of deviance of VOT and the proportion of Procent Phonemes Correct (PPC), age or phonological processes were found. From the results the conclusion can be drawn that children with phonological impairment have deviant VOT-values that could be caused by lack of phonological knowledge, but in particular since the variability did not decrease with increased age, have difficulties with motor execution.
Tal kräver ett samarbete mellan kognitiva, språkliga och motoriska processer. Det kräver även spatial och temporal kontroll av muskler samt samtidig och koordinerad aktivitet av andning, fonation och artikulation (Cheng, Murdoch, Goozée & Scott, 2007; Yorkston, Beukelman, Strand & Bell, 1999; Raphael, Borden & Harris, 2011). Voice Onset Time (VOT) ger en bild av koordinationen mellan fonation och artikulation (Hoit-Dalgaard, Murry & Kopp, 1983). VOT är den mest pålitliga akustiska referensen för att kunna skilja mellan tonande och tonlösa klusiler (Auzou et al., 2000). Engelsktalande barn med fonologisk språkstörning har visat atypiska VOT-mönster (Bond & Wilson, 1980). Syftet med föreliggande studie är att undersöka Voice Onset Time (VOT) hos svensktalande barn med fonologisk språkstörning och utröna huruvida deras VOT-värden skiljer sig från VOT-värden hos barn med typisk språkutveckling. I studien deltog 38 barn i åldrarna 4;2−11;6 fördelade på åtta åldersgrupper och fem fonologiska utvecklingsstadier. Inspelningar av bildbenämning av minimala par skedde på barnens förskola, skola eller logopedmottagning. Resultatet visade att barn med fonologisk språkstörning hade avvikande VOT-värden med stor variation. Det förekom både att grupper kunde och inte kunde producera akustiska skillnader mellan tonlösa och tonande klusiler. Resultaten var så spridda i barngruppen att ingen direkt utveckling mot vuxenlika värden kunde relateras till ökad ålder för varken utveckling av VOT produktion eller vuxenlik förekomst av förton. Ingen skillnad vad gäller VOT sågs mellan barn i olika fonologiska utvecklingsstadier eller åldrar. Hur mycket ett VOT-värde avvek kunde inte förklaras av ålder, språkliga processer eller hur många korrekta fonem (PPC) som producerades. Av resultaten dras slutsatsen att barn med språkstörning har avvikande VOT-värden som delvis kan hänföras till bristande fonologisk kunskap men framförallt, eftersom variabiliteten i barnens värden inte minskade med ökad ålder kan hänföras till svårigheter med det motoriska genomförandet.
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Larsson, Maria, and Sara Wiman. "Voice onset time hos svenska förskolebarn : Ett utvecklingsperspektiv." Thesis, Linköping University, Department of Clinical and Experimental Medicine, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55537.

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Voice onset time (VOT) är en akustisk tidsparameter som speglar den talmotoriska kontrollen. VOT anses vara det mest tillförlitliga akustiska tecknet på om en klusil är tonande eller tonlös.

Syfte: att undersöka och jämföra VOT hos barn i åldrarna 3, 4 och 5 år samt jämföra med tidigare publicerade svenska vuxenvärden.

Metod: 83 barn (51 flickor; 32 pojkar) ljudinspelades vid produktion av minimala par för de svenska klusilerna.

Resultat: medelvärden för VOT minskade genomgående med åldern. Signifikanta skillnader erhölls mellan 3- och 5-åringarna för ljuden /t k b g/ samt gällande användandet av förton för tonande klusiler. Jämförelser med vuxenvärden visade att vuxna i högre utsträckning hade förton för de tonande ljuden och kortare VOT för de tonlösa ljuden än de, i föreliggande studie, deltagande barnen. Inga signifikanta könsskillnader påträffades.

Resultaten av föreliggande studie kan användas som referensmaterial vid bedömning av barn med talmotoriska störningar.

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Rae, Rebecca C. "Measures of Voice Onset Time: A Methodological Study." Bowling Green State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1522356095329958.

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Larsson, Maria, and Sara Wiman. "Voice onset time hos svenska barn och vuxna : Ett utvecklingsperspektiv." Thesis, Linköpings universitet, Institutionen för klinisk och experimentell medicin, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-68630.

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Voice onset time (VOT) är en akustisk tidsparameter som reflekterar den tidsmässiga samordningen av talmotoriken. VOT betraktas som det mest pålitliga akustiska kännetecknet på huruvida en klusil är tonlös eller tonande. Föreliggande studies syfte var att studera och jämföra VOT hos svenska barn (8, 9, 10, 11 år) och vuxna för att se hur utvecklingen sker samt för att ta fram svenska normvärden. Ljudinspelningar genomfördes på 150 barn och 36 vuxna vid uttal av de svenska klusilerna i minimala par. Akustiska analyser av materialet utfördes sedan. Resultatet visade att de tonlösa klusilerna föreföll produceras med vuxenlika VOT-värden från och med cirka nio års ålder. De tonande motsvarigheterna producerades med vuxenlik VOT omkring tio års ålder. I tioårsåldern förekom dessutom förton i helt vuxenlik utsträckning. Resultaten tyder dock på att svenska vuxna ej nödvändigtvis behöver producera tonande klusiler med förton. Inga tydliga könsskillnader erhölls. De normvärden för VOT som har tagits fram i föreliggande studie kan nyttjas som referensmaterial vid utredning av barn med talstörningar.
Voice onset time (VOT) is a temporal acoustic parameter, which reflects the timing of speech motor control. VOT is said to be the most reliable acoustic cue of whether a plosive is voiceless or voiced. The aim of the present study was to investigate and compare VOT among Swedish children (8, 9, 10, 11 years) and adults to examine the development of VOT and to obtain Swedish normative data. Audio recordings were performed on 150 children and 36 adults when pronouncing the Swedish plosives in minimal pairs. Acoustic analyses were then carried out. The results indicated that the voiceless plosives seemed to be produced with adult like VOT-values around the age of nine. The voiced plosives in turn, appeared to be produced with adult like values at approximately ten years of age. By the age of ten, also prevoicing was found in a fully adult like extent. Though, the results indicate that not all Swedish adults produce voiced plosives with prevoicing. No evident gender differences were found. The normative data for VOT that have been obtained in the present study can be used as normative data when assessing children with speech disorders.
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Yu, Ka-man Karen. "Voice onset time production of affricates in cerebral palsied children." Click to view the E-thesis via HKUTO, 1996. http://sunzi.lib.hku.hk/hkuto/record/B36209387.

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Thesis (B.Sc)--University of Hong Kong, 1996.
"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, April 29, 1996." Also available in print.
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Ingersoll, Jeremy Leigh. "The Perception of Voice Onset Time by English-speaking L2 Learners of Spanish with an Extended Partial Immersion Experience." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/8114.

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For adult learners of a second language, the similarities and differences in acoustic properties between their native language and the language they are learning can affect how they perceive the sounds of the new language. How learners perceive these acoustic properties will directly affect their ability to communicate. According to the Perceptual Assimilation Model (PAM) (Best 1995), learners will perceive the sounds of a language that is new to them based on how similar or different the sounds are from the learner’s native language. Between the English and Spanish language, there are some sounds that share acoustic properties and others that show contrast. Such is the case with the stop consonants /p/, /t/, /k/, /b/, /d/, and /g/. These consonants exist in both Spanish and English, and though they are similar, there are important differences in how they should be perceived and produced. Despite the differences, these sounds are likely to be confused by L2 learners due to similarity in acoustic cues. This study will use Best’s Perceptual Assimilation Model (PAM) as a framework. It will test the L2 perception of native English-speaking adults who are L2 learners of Spanish, have spent between 18 and 24 months speaking the target language as Latter-day Saint (LDS or Mormon) missionaries in the United States, and who are also currently university students enrolled in an upper-level Spanish course. It will focus on their perception of the acoustic cue of Voice Onset Time (VOT) of stop consonants.
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Le, Jenny, and Hosseini Mahtab Fattah. "Variabilitet i voice onset time : En studie av svenska femåringars initiala klusilproduktioner." Thesis, Linköpings universitet, Logopedi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-91245.

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Voice onset time (VOT) är en akustisk tidsparameter som återspeglar den talmotoriska samordningen. VOT betraktas även vara det mest tillförlitliga sättet att särskilja mellan tonande och tonlösa klusiler. VOT hos barn har tidigare studerats i logopediuppsatser vid Linköpings universitet (Lundeborg et al., 2012; Larsson & Wiman, 2011). I dessa arbeten har dock inga upprepade mätningar gjorts, varför det föreligger behov att fastställa hur konsistent barns VOT är. Denna studie syftar till att undersöka hur konsistent klusilproduktionen är hos svenska barn i femårsåldern, samt utreda förekomsten av eventuella könskillnader. I studien medverkade 31 barn, 13 flickor och 18 pojkar där medelåldern var 5:6 år. Barnen fick benämna bilder av minimala par med klusilord tre gånger. Samtliga testningar ljudinspelades. Inspelningarna analyserades därefter. Resultaten visade att barnen var förhållandevis konsekventa i VOT-värden vid de flesta klusilproduktionerna, variabilitet förekom mellan specifika klusilproduktionsomgångar. Bland de barn som hade förton vid produktionen av tonande klusiler noterades variabilitet i såväl förekomst som värde. Inga statistiskt signifikanta könsskillnader noterades.
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Books on the topic "Voice onset times"

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Nihongo no gotō heisaon no kenkyū: VOT no kyōjiteki bunpu to tsūjiteki henka = Voice onset time. Tōkyō: Kuroshio Shuppan, 2011.

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Tao, Duy Linh. La production du délai d'établissement du voisement ou le "Voice Onset Time" des sujets bègues et non bègues franco-ontariens. Sudbury, Ont: Programme de maîtrise en orthophonie, Université Laurentienne, 1996.

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Ghavami, Golnaz Modarresi. Phonetics. Edited by Anousha Sedighi and Pouneh Shabani-Jadidi. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198736745.013.4.

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This chapter discusses the articulatory and acoustic properties of the sound system of Standard Modern Persian. It starts with a brief review of early work on the sound system of New Persian and its development into Modern Persian. The second section examines consonants and vowels in Standard Modern Persian. In this section, issues such as place and manner of articulation of consonants, Voice Onset Time and its importance in distinguishing voiced and voiceless obstruents, the acoustics of glottal consonants, sibilant and non-sibilant fricatives, and rhotics are discussed. The section on vowels addresses vowel space, vowel length, and the acoustics of diphthongs in Standard Modern Persian. The phonetics of the suprasegmental features of stress and intonation are the topic a final section in this chapter.
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Book chapters on the topic "Voice onset times"

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Nagy, Naomi, and Alexei Kochetov. "Voice onset time across the generations." In Multilingualism and Language Diversity in Urban Areas, 19–38. Amsterdam: John Benjamins Publishing Company, 2013. http://dx.doi.org/10.1075/hsld.1.02nag.

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Zampini, Mary L. "Voice Onset Time in Second Language Spanish." In The Handbook of Spanish Second Language Acquisition, 111–29. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118584347.ch7.

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Stachowiak-Szymczak, Katarzyna. "Voice onset time and rhythm transfer in simultaneous interpreting." In Multilingual Mediated Communication and Cognition, 69–89. London ; New York : Routledge, 2020. | Series: The IATIS yearbook: Routledge, 2020. http://dx.doi.org/10.4324/9780429323867-4.

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Jayakumar, T., and Vijay Kumar Narne. "Neuro-Physiological Correlates of Voice Onset Time in Kannada and Tamil Speaking." In Recent Developments in Acoustics, 17–42. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5776-7_2.

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Menke, Mandy R. "Chapter 11. Voice onset time and the child foreign language learner of Spanish." In Contemporary Trends in Hispanic and Lusophone Linguistics, 237–58. Amsterdam: John Benjamins Publishing Company, 2018. http://dx.doi.org/10.1075/ihll.15.12men.

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Rojczyk, A. "Chapter 4. Perception of the English Voice Onset Time Continuum by Polish Learners." In TheAcquisition of L2 Phonology, edited by Janusz Arabski and Adam Wojtaszek, 37–58. Bristol, Blue Ridge Summit: Multilingual Matters, 2011. http://dx.doi.org/10.21832/9781847693761-006.

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Puggaard, Rasmus. "Chapter 4. Modeling regional variation in voice onset time of Jutlandic varieties of Danish." In Language Variation – European Perspectives VIII, 80–110. Amsterdam: John Benjamins Publishing Company, 2021. http://dx.doi.org/10.1075/silv.25.04pug.

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Subramaniyam, Murali, Kyung-Sun Lee, Se Jin Park, and Seung Nam Min. "Development of Mobile Application Program for Stroke Prediction Using Machine Learning with Voice Onset Time Data." In Communications in Computer and Information Science, 670–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50726-8_87.

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Eggerrmont, Jos. "Gap-detection and voice-onset-time." In Auditory Temporal Processing and its Disorders, 66–82. Oxford University Press, 2015. http://dx.doi.org/10.1093/acprof:oso/9780198719090.003.0004.

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"Voice Onset Time Patterns in Bilingual Phonological Development." In Investigations in Clinical Phonetics and Linguistics, 357–66. Psychology Press, 2012. http://dx.doi.org/10.4324/9781410613158-31.

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Conference papers on the topic "Voice onset times"

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Hullebus, Marc Antony, Stephen Tobin, and Adamantios Gafos. "Speaker-specific Structure in German Voiceless Stop Voice Onset Times." In Interspeech 2018. ISCA: ISCA, 2018. http://dx.doi.org/10.21437/interspeech.2018-2288.

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Schlenter, Judith, Yulia Esaulova, Elyesa Seidel, and Martina Penke. "Planning of active and passive voice in German." In 11th International Conference of Experimental Linguistics. ExLing Society, 2020. http://dx.doi.org/10.36505/exling-2020/11/0043/000458.

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This eye-tracking experiment investigated how morphological case affects German speakers’ descriptions of transitive events, specifically whether explicit case marking modulates speakers’ structural choices. To increase the production of non-canonical structures (passive, patient-initial active), we primed patients in event scenes with a red dot. Subject and object case in German are unambiguously marked on masculine nouns but not on feminine nouns. If explicit case marking requires more structural planning, we should find an effect of gender. For feminine nouns, speakers may start with the cued patient and continue with a passive or a patient-initial active sentence. However, analyses of syntactic choice, speech onset times and eye gaze revealed that gender and thus case marking had no effect on sentence planning
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Dubey, Saurav, Arash Mahnan, and Jürgen Konczak. "Real-Time Voice Activity Detection Using Neck-Mounted Accelerometers for Controlling a Wearable Vibration Device to Treat Speech Impairment." In 2020 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dmd2020-9081.

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Abstract Speech analysis using microphones can be problematic for Voice Activity Detection (VAD) in the presence of background noise. This study explored the use of wearable accelerometers instead of microphones. We assessed if accelerometers placed on the neck can be part of a VAD system embedded in a wearable collar-like device that delivers vibro-tactile stimulation (VTS) to the larynx during speech as a therapy for patients with the voice disorder spasmodic dysphonia. Specifically, we aimed to a) find the ideal location for placing accelerometers to the neck, and b) develop a VAD algorithm that detects the onset and offset of speech. Six healthy adult participants (M/F = 3/3, age = 26 (5.1)) vocalized 20 sample sentences with and without VTS at three neck locations: 1) thyroid cartilage, 2) sterno-cleidomastoid, and 3) posterior neck above C7. Based on time-synchronized acceleration and audio signals, VAD algorithm identified the Number of Onsets of Speech and Total Time Voiced. The thyroid cartilage attachment location had over 90% accuracy detecting speech in both measures. The average accuracy of the sternocleidomastoid and C7 locations were below 75% and 15% respectively. VAD accuracy decreased with the presence of VTS trials at all locations. We conclude that accelerometer signals due to tissue motion at thyroid cartilage are most suitable for real-time VAD. These findings support the feasibility of accelerometer-based voice detection for the use in medical devices that target speech and voice disorders.
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Sonderegger, Morgan, and Joseph Keshet. "Automatic discriminative measurement of voice onset time." In Interspeech 2010. ISCA: ISCA, 2010. http://dx.doi.org/10.21437/interspeech.2010-616.

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Singh, Rita, Joseph Keshet, Deniz Gencaga, and Bhiksha Raj. "The relationship of voice onset time and Voice Offset Time to physical age." In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7472707.

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Xuanda, Chen, Xiong Ziyu, and Hu Jian. "The Trajectory of Voice Onset Time with Vocal Aging." In Interspeech 2018. ISCA: ISCA, 2018. http://dx.doi.org/10.21437/interspeech.2018-60.

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Chen, Li-mei, Jui-Feng Peng, and Kuan-Yi Chao. "The Effect of Lexical Tones on Voice Onset Time." In 2009 11th IEEE International Symposium on Multimedia. IEEE, 2009. http://dx.doi.org/10.1109/ism.2009.96.

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Novotny, Michal, Jakub Pospisil, Roman Cmejla, and Jan Rusz. "Automatic detection of voice onset time in dysarthric speech." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178790.

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Ryant, Neville, Jiahong Yuan, and Mark Liberman. "Automating phonetic measurement: The case of voice onset time." In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4801056.

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AlDahri, Sulaiman S. "The effect of Arabic emphaticness on Voice Time Onset (VOT)." In 2012 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2012. http://dx.doi.org/10.1109/icalip.2012.6376655.

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