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Neuro-Physiological Correlates of Voice Onset Time in Kannada and Tamil Speaking

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Recent Developments in Acoustics

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Voice Onset Time (VOT) refers to the time difference between two events—one articulatory and the other laryngeal. VOT is measured as the time difference between the onset of the burst (articulatory event) and the onset of vocal fold vibration (laryngeal event) Lisker [14]. The cross-linguistic variation with respect to voicing perception is more in multilingual countries like India. For example, in Tamil language, there is no good distinction between voiced and unvoiced stops; however, in Kannada, Telugu, and Hindi, there exists a difference. To verify the cross-linguistic difference, the behavioral response for VOT continuum in native Kannada and Tamil speakers, and the neuro-physiological changes for VOT continuum in native Kannada and Tamil speakers were taken as objective of the study. Two groups of subjects were participated in the study. Group I consisted of ten male Kannada speakers in the age range of 20–35 years. All the subjects were native speakers of Kannada language, and they belong to Mysore dialect and they are fluent speakers in Kannada only. All though they were exposed to English, they were not fluent speakers of English or Hindi. Group II consisted of ten male Tamil speakers in the age range of 20–35. All the subjects were native speakers of Tamil language, and they belong to Coimbatore/Chennai dialect and they are fluent speakers in Tamil only. Although they were exposed to English, they were not fluent speakers of English or Kannada or Hindi. From the naturally recorded speech sounds, /da-ta/ continuum was created using copy past synthesis method. This continuum had 10 tokens. Using this stimulus, behavioral identification curve was generated. Also electrophysiological, N100 potential was recorded using Neuro-Scan instrument (Compumedies, AUS) with five tokens, which covers the entire dynamic range of the /da-ta/ continuum. The recording was done with 16 channels. The behavioral result showed there was difference between Tamil and Kannada languages; however, electrophysiological results showed that there was a change with N100 latency with changing VOT but there was no language difference found. The author concluded that N100 may not be an effective measure to indicate to represent the voice /voiceless categorical perception. May be higher potential might give better information.

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References

  1. Lisker L, Abramson A (1964) A cross language study of voicing in initial stops: Acoustical measurements. Word 20:384–422

    Article  Google Scholar 

  2. Abramson, A., and Lisker, L. (1965). Voice onset time in stop consonants: Acoustic analysis and synthesis. Proceedings of the 5th International Congress of Acoustics. Liege: Imp. G. Thone

    Google Scholar 

  3. Studdert- Kennedy M (1976) Speech perception. In: Lass NJ (ed) Contemporary issues in experimental phonetics. Academic press, New York

    Google Scholar 

  4. Williams L (1977) The perception of stop consonant voicing bySpanish-English bilinguals. Percept Psychophys 19:285–289

    Google Scholar 

  5. Williams, L. (1980). Phonetic variation as a function of second language learning. In G. H

    Google Scholar 

  6. Savithri SR, Pushpavathi M, Sujatha S (1995) Development of speech production and perception. Some temporal aspects. Journal of Indian Speech & Hearing Association 14:1–10

    Google Scholar 

  7. Sathya, R.and Savithri, S., R. (1996). Development of auditory perceptual processing in children. Unpublished doctoral thesis submitted to University of Mysore, Mysore

    Google Scholar 

  8. Sharma A, Dorman MF (1999) Cortical auditory evokedpotential correlates of categorical perception of voice-onsettime. J Acoust Soc Am 106:1078–1083

    Article  Google Scholar 

  9. Sharma A, Dorman M (2000) Neurophysiologic correlates ofcross-language phonetic perception. J Acoust Soc Am 107:2697–2703

    Article  Google Scholar 

  10. Horev, N., Most, T., and Pratt, H. (2007). Categorical Perception of Speech (VOT) and Analogous Non-Speech (FOT) signals: Behavioral and electrophysiological correlates.Ear Hearing, 28(1), 111-28

    Google Scholar 

  11. Savithri, S. R. (1997). Development of speech perception in children. Proceedings of International conference on computational Linguistics, Speech and Document Processing, pp 368-384

    Google Scholar 

  12. Jayakumar T, Venugopal MB, Savithri SR (2006) Perception of voicing in Tamil and Hindi speakers. Proceeding of national acoustic society of India, Mysore

    Google Scholar 

  13. Martin, B. A., Tremblay, K. L., and Stapells, D. R. (2007). Principlesand applications of cortical auditory evoked potentials. In R. F.Burkard, J. J. Eggermont, & M. Don (Eds.), Auditory evokedpotentials: basic principles and clinical application (Chap. 23).Lippincott, Williams and Wilkins

    Google Scholar 

  14. Lie´geois-Chauvel, C., De Graaf, J. B., Laguitton, V., and Chauvel, P.(1999). Specialization of left auditory cortex for speech perceptionin man depends on temporal coding. Cerebral Cortex, 9,484–496

    Google Scholar 

  15. Steinschneider M, Schroeder CE, Arezzo JC, Vaughan HG (1994) Speech-evoked activity in primary auditory cortex: Effects of voice onset time. Electroencephalography and ClinicalNeurophysiology 92:30–43

    Article  Google Scholar 

  16. Steinschneider M, Volkoc I, Noh M, Garell P, Howard MT (1999) Temporal encoding of the voice onset time phoneticparameter by field potentials recorded directly from humanauditory cortex. J Neurophysiol 82:2346–2357

    Article  Google Scholar 

  17. Steinschneider M, Volkov IO, Fishman YI, Oya H, Arezzo JC, Howard MA (2005) Intracortical responses inhuman and monkey primary auditory cortex support a temporalprocessing mechanism for encoding of the voice onset timephonetic parameter. Cereb Cortex 5:170–186

    Google Scholar 

  18. King KA, Campbell J, Sharma A, Martin K, Dorman M, Langran J (2008) The representation of voice onset time in the cortical auditory evoked potentials of young children. Clin Neurophysiol 119(12):2855–2861

    Article  Google Scholar 

  19. Dalebout SD, Stack JW (1999) Mismatch negativity to acoustic differences not differentiated behaviorally. Journal of American Academy of Audiology 10(7):388–399

    Google Scholar 

  20. Elangovan S, Stuart A (2011) A cross-linguistic examination of cortical auditory evoked potentials for a categorical voicing contrast. Neuroscience Lettan 490(2):140–144

    Article  Google Scholar 

  21. Flege JE, Eefting W (1986) Linguistic and developmental effects on the production and perception of stop consonants. Phonetica 43:155–171

    Article  Google Scholar 

  22. http://www.en.wikipedia.org/wiki/Kannada_language

  23. http://www.en.wikipedia.org/wiki/Tamil_language

  24. Kraus N, McGee T, Micco A, Sharma A, Carrell T, Nicol T (1993) Mismatch negativity in school-age children to speech stimuli that are just perceptibly different. Electroencephalogram Clinical Neurophysiology 88(2):123–130

    Article  Google Scholar 

  25. Liberman AM, Harris KS, Hoffman HS, Griffith BC (1957) The discrimination of speech sounds within and across phoneme boundaries. J Exp Psychol 54:358–368

    Article  Google Scholar 

  26. Liederman, J., Frye, R., Fisher, J. M., Greenwood, K., and Alexander, R. (2005). A temporally dynamic context effect that disrupts voice onset time discrimination of rapidly successive stimuli.Psychology Bull Rev., 12(2), 380-6

    Google Scholar 

  27. Lisker L, Abramson A (1967) Voicing Contrast: Perceptual and productive voice onset time characteristics of adult. Journal of Acoustic society of America 56(3):981–994

    Google Scholar 

  28. Naatanen R, Picton TW (1987) The N1 wave of the humanelectric and magnetic response to sound: a review and ananalysis of the component structure. Psychophysiology 24:375–425

    Article  Google Scholar 

  29. Pegg, J. E., and Werker, J. F. (1997) Adult and infant perception of two English phones.Journal of Acoustic society of America, 102(6), 3742–3753

    Google Scholar 

  30. Pegg JE, Werker JF (1997) Adult and infant perception of two English phones. Journal of Acoustic society of America 102(6):3742–3753

    Article  Google Scholar 

  31. Sharma A, Marsh CM, Dorman MF (2000) Relationshipbetween N1 evoked potential morphology and the perception ofvoicing. J Acoust Soc Am 108:3030–3035

    Article  Google Scholar 

  32. Simon C (1974) Some aspect of development of speech production and perception in children, Speech communication seminar, 7-15. Stockholm, John Wiley and sons, London

    Google Scholar 

  33. Simos PG, Molfese DL, Brenden RA (1997) Behavioraland electrophysiological indices of voicing-cue discrimination: Laterality patterns and development. Brain Lang 57:122–150

    Article  Google Scholar 

  34. Sinex DG, McDonald LP, Mott JB (1991) Neural correlates of nonmonotonic temporal acuity for voice onset time. Journal of Acoustic society of America 90(5):2441–2449

    Article  Google Scholar 

  35. Sreedevi N, Savithri SR (1991) Cross language study of stop perception. Journal of Indian Speech & Hearing Association 8:14–20

    Google Scholar 

  36. Tampas JW, Harkrider AW, Hedrick MS (2005) Neurophysiological indices of speech and nonspeech stimulus processing. Journal of Speech Language Hearing Research 48(5):1147–1164

    Article  Google Scholar 

  37. Toscano, J. C., McMurray, B., Dennhardt, J., and Luck, S. J. (2010). Continuous perception and graded categorization: electrophysiological evidence for a linear relationship between the acoustic signal and perceptual encoding of speech.Psychology Science, 21(10), 1532-40

    Google Scholar 

  38. Tremblay KL, Piskosz M, Souza P (2003) Effects of age andage-related hearing loss on the neural representation of speechcues. Clin Neurophysiol 114:1332–1343

    Article  Google Scholar 

  39. Werker, J. F, and Logan, J. S. (1985).Cross-language evidence for three factors in speech perception.PerceptionPsychophysic, 37(1), 35-44

    Google Scholar 

  40. Williams L (1977) The voicing contrast in Spanish. Journal of Phonetics 5:169–184

    Article  Google Scholar 

  41. Williams L (1977) The perception of stop consonant voicing by Spanish-English bilinguals. Percept Psychophys 21:289–297

    Article  Google Scholar 

  42. Yeni-Komshian, J. F. Kavanagh and C. A. Ferguson (Eds.), Child Phonology, vol.2: Perception, Academic press: NewYork, 1980

    Google Scholar 

  43. Zlatin M, Koenigsknecht R (1975) Development of the voicing contrast: Perception of stop consonants. J Speech Hear Res 18:541–553

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Speech-Language Sciences, All India Institute of Speech and Hearing, Mysuru, India

    T. Jayakumar

  2. Department of Clinical Research, Facility of Health, South Denmark University, Sønderborg, Denmark

    Vijay Kumar Narne

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  1. T. Jayakumar
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Correspondence to T. Jayakumar .

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Editors and Affiliations

  1. Department of Physico-Mechanical Metrology, CSIR-National Physical Laboratory, New Delhi, Delhi, India

    Mahavir Singh

  2. Mechanical Engineering Department, Aligarh Muslim University, Aligarh, Uttar Pradesh, India

    Yasser Rafat

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Jayakumar, T., Narne, V.K. (2021). Neuro-Physiological Correlates of Voice Onset Time in Kannada and Tamil Speaking. In: Singh, M., Rafat, Y. (eds) Recent Developments in Acoustics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-5776-7_2

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  • DOI: https://doi.org/10.1007/978-981-15-5776-7_2

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