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Article published In:
Linguistics of the Tibeto-Burman Area
Vol. 47:1 (2024) ► pp.32–56

Voice onset time in Angami

 | Indian Institute of Technology Guwahati
 | Indian Institute of Technology Guwahati
Angami has three-way laryngeal contrasts in stops, i.e., voiced, voiceless unaspirated, and voiceless aspirated. Apart from that, Angami also has four phonetically level tones. Due to the level nature of the lexical tones in Angami, consonantal perturbations could be investigated clearly. The results of the study showed that the extent of consonantal perturbation depended on the tonal categories. Voiceless consonantal perturbations were weaker as tone categories got higher. Conversely, voiced stop consonantal perturbations were weaker as tone categories got lower. This study also found a systematic relationship between tone height and VOT duration. High tones induced shorter VOT, while low tones induced longer VOT.
Keywords: Tibeto-Burman, Angami, VOT, tones
Article outline
  • 1.Introduction
  • 2.Angami language
  • 3.Methodology
    • 3.1Speakers
    • 3.2Materials
    • 3.3Recording of the data
    • 3.4VOT annotation and extraction
    • 3.5F Extraction using Zero-frequency filtering (ZFF)
    • 3.6Statistical analysis
  • 4.Results
    • 4.1VOT in Angami stops
    • 4.2Tone effects on VOT in Angami
    • 4.3VOT effects on tones in Angami
  • 5.Conclusion and discussion
  • Acknowledgements
  • Notes
  • References
Published online: 17 May 2024
DOI logo
https://doi.org/10.1075/ltba.00016.ter
References (47)
References
Abramson, Arthur S. & Douglas H. Whalen. 2017. Voice Onset Time (VOT) at 50: Theoretical and practical issues in measuring voicing distinctions. Journal of Phonetics 631. 75–86. DOI logoGoogle Scholar
Bates, Douglas, Martin Mächler, Ben Bolker & Steve Walker. 2014. Fitting linear mixed-effects models using lme4. arXiv preprint arXiv:1406.5823 (2014). DOI logoGoogle Scholar
Blankenship, Barbara, Peter Ladefoged, Peri Bhaskararao & Nichumeno Chase. 1993. Phonetic structures of Khonoma Angami. Linguistics of the Tibeto-Burman Area 16(2). 69–88.Google Scholar
Boersma, Paul & David Weenink. 2018. Praat: doing phonetics by computer [Computer program]. Version 6.0.37.Google Scholar
Burling, Robbins. 1960. Angami Naga phonemics and word list. Indian Linguistics 211. 51–60.Google Scholar
. 2003. The Tibeto-Burman languages of Northeastern India. In Graham Thurgood & Randy J. Lapolla (eds.), The Sino-Tibetan languages, 169–192. London, Routledge.Google Scholar
Chao, Kuan-Yi & Li-mei Chen. 2008. A cross-linguistic study of voice onset time in stop consonant productions. International Journal of Computational Linguistics & Chinese Language Processing 13(2). 215–232.Google Scholar
Chase, Nichumeno. 1992. A descriptive analysis of the Khwunomia dialect of Angami. Poona: University of Poona PhD thesis.
Chen, Yiya. 2011. How does phonology guide phonetics in segment–f0 interaction? Journal of Phonetics 39(4). 612–625. DOI logoGoogle Scholar
Cho, Taehong & Peter Ladefoged. 1999. Variation and universals in VOT: evidence from 18 languages. Journal of Phonetics 27(2). 207–229. DOI logoGoogle Scholar
Flege, James Emil & Wieke Eefting. 1986. Linguistic and developmental effects on the production and perception of stop consonants. Phonetica 43(4). 155–171. DOI logoGoogle Scholar
Fox, John & Sanford Weisberg. 2019. An R Companion to Applied Regression, 3rd ed., Thousand Oaks CA: Sage.Google Scholar
Geissler, Christopher. 2019. Tonal and laryngeal contrasts in Diaspora Tibetan. In Sasha Calhoun, Paola Escudero, Marija Tabain & Paul Warren (eds.), Proceedings of the 19th International Congress of Phonetic Sciences , Melbourne, Australia 2019, 2421–2424. Canberra, Australia: Australasian Speech Science and Technology Association Inc.
Giridhar, Puttushetra Puttuswamy. 1980. Angami grammar. Mysore: Central Institute of Indian Languages.Google Scholar
Humbert, Jean-Marie, John J. Ohala & William G. Ewan. 1979. Phonetic explanations for the development of tones. Language 55(1). 37–58. DOI logoGoogle Scholar
Humbert, Jean-Marie. 1978. Consonant types, vowel quality, and tone. In Victoria A. Fromkin (ed.), Tone – A linguistic survey, 77–111. Academic Press. DOI logoGoogle Scholar
Hussain, Qandeel. 2018. A typological study of Voice Onset Time (VOT) in Indo-Iranian languages. Journal of Phonetics 711. 284–305. DOI logoGoogle Scholar
Kirby, James P. 2018. Onset pitch perturbations and the cross-linguistic implementation of voicing: Evidence from tonal and non-tonal languages. Journal of Phonetics 711. 326–354. DOI logoGoogle Scholar
Kirby, James & Gwendolyn Hyslop. 2019. Acoustics analysis of onset voicing in Dzongkha obstruents. In Sasha Calhoun, Paola Escudero, Marija Tabain & Paul Warren (eds.), Proceedings of the 19th International Congress of Phonetic Sciences , Melbourne, Australia 2019, 3607–3611. Canberra, Australia: Australasian Speech Science and Technology Association Inc.
Kuolie, Duovituo. 2006. Structural description of Tenyidie: a Tibeto-Burman language of Nagaland. Kohima: Ura Academy Publication Division.Google Scholar
Kuznetsova, Alexandra, Per B. Brockhoff & Rune H. B. Christensen. 2017. LmerTest Package: Tests in Linear Mixed Effects Models. Journal of Statistical Software 82 (13). 1–26. DOI logoGoogle Scholar
Lai, Yuwen, Christopher Huff, Joan Sereno & Allard Jongman. 2009. The raising effect of aspirated prevocalic consonants on F in Taiwanese. In Proceedings of the 2nd International Conference on East Asian Linguistics, vol. 2. Simon Fraser University, Vancouver, Canada.
Lalhminghlui, Wendy, and Priyankoo Sarmah. 2020. Interaction of tone and voicing in Mizo. INTERSPEECH, 1903–1907. DOI logoGoogle Scholar
Lalhminghlui, Wendy, Viyazonuo Terhiija, and Priyankoo Sarmah. 2019. Vowel-tone interaction in two Tibeto-Burman languages. INTERSPEECH, 3970–3974. DOI logoGoogle Scholar
Lee, Seunghun J., Shigeto Kawahara, Celéste Guillemot & Tomoko Monou. 2019. The acoustic correlates of the four-way laryngeal contrast in Drenjongke stops. In Sasha Calhoun, Paola Escudero, Marija Tabain & Paul Warren (eds.), Proceedings of the 19th International Congress of Phonetic Sciences, Melbourne, Australia 2019, 1445–1449. Canberra, Australia: Australasian Speech Science and Technology Association Inc.Google Scholar
Lenth, Russell. 2019. emmeans: Estimated marginal means, aka least-squares means, package version 1(4). [URL]
Liezietsu, Mezhüvilie, Keduosievi Kesiezie & Shürhozelie Liezietsu. 2019. MKS Dieda, 2nd edn. Kohima: Ura Academy. N.V. Press.Google Scholar
Lisker, Leigh & Arthur S. Abramson. 1964. A cross-language study of voicing in initial stops: Acoustical measurements. Word 20(3). 384–422. DOI logoGoogle Scholar
Lisker, Leigh & Arthur S. Abramson. 1970. The voicing dimension: Some experiments in comparative phonetics. In Bohuslav Hála, Milan Romportl & Přmysl Janota (eds.), Proceedings of the Sixth International Congress of Phonetic Sciences, Prague 7–13 September 1967, 563–567.Google Scholar
Maddieson, Ian. 1978. Tone effects on consonants. Journal of Phonetics 6(4). 327–343. DOI logoGoogle Scholar
Mahapatra, Bijay Prasad, Grant D. McConnell, P. Padmanabha & V. Verma. 1989. Book 2: Non-Constitutional Languages. In Heinz Kloss & Grant D. McConnell (eds.), The written languages of the world: A survey of the degree and modes of use, 611–1359. Office of the Registrar General, India and the International Centre of Research on Bilingualism, Laval University, Canada.Google Scholar
Marrison, Geoffrey Edward. 1967. The classification of the Naga languages of north-east India. London: School of Oriental and African Studies, University of London, PhD thesis.
Meyase, Savio M. 2021. Polarity in a four-level tone language: tone features in Tenyidie. Phonology 38(1). 123–146. DOI logoGoogle Scholar
Moran, Steven & Daniel McCloy. 2019. cldf-datasets/phoible: PHOIBLE 2.0 as CLDF dataset (v2.0) [Data set]. Zenodo. DOI logoGoogle Scholar
Murty, K. Sri Rama & Bayya Yegnanarayana. 2008. Epoch extraction from speech signals. IEEE Transactions on Audio, Speech, and Language Processing 16(8). 1602–1613. DOI logoGoogle Scholar
Narayan, Chandan & Mary Bowden. 2013. Pitch affects voice onset time (VOT): A cross-linguistic study. In Proceedings of Meetings on Acoustics ICA2013, vol. 19(1). 060095. Acoustical Society of America. DOI logoGoogle Scholar
Office of the Registrar General & Census Commissioner of India. 2011. Statement-1: Abstract of Speakers’ Strength of Languages and Mother Tongues.Google Scholar
R Core Team. 2022. R: A Language and Environment for Statistical Computing, Foundation for Statistical Computing, Vienna, Austria. [URL]
Ravindran, N. 1974. Angami phonetic reader. CILL phonetic reader series 10. Mysore: Central Institute of Indian Languages.Google Scholar
Rose, Phil. 1987. Considerations in the normalisation of the fundamental frequency of linguistic tone. Speech Communication 6(4). 343–352. DOI logoGoogle Scholar
Shrem, Yosi, Matthew Goldrick & Joseph Keshet. 2019. Dr. VOT: Measuring positive and negative voice onset time in the wild. arXiv preprint arXiv:1910.13255. [URL]
Suokhrie, Kelhouvinuo. 2015. Internal variation in Angami: A case study of Kohima village. Delhi: University of Delhi M. Phil. thesis.
Teo, A. B. 2014. A phonological and phonetic description of Sumi, a Tibeto-Burman language of Nagaland. Asia-Pacific Linguistics Open Access Monographs, A-PL 011/SEAMLES 007/ Canberra, ACT: Asia-Pacific Linguistics, [URL].Google Scholar
Tse, Holman. 2005. The phonetics of VOT and tone interaction in Cantonese. Chicago: University of Chicago PhD dissertation.
Tzudir, Moakala, Priyankoo Sarmah & S.R. Mahadeva Prasanna. 2021. Analysis and modeling of dialect information in Ao, a low resource language. The Journal of the Acoustical Society of America 149(5). 2976–2987. DOI logoGoogle Scholar
Wickham, Hadley. 2016. ggplot2: Elegant Graphics for Data Analysis, Springer-Verlag New York. [URL]. DOI logo
Zakaria, Muhammad. 2020. The segmental phonetics and phonology of Hyow, A Tibeto-Burman language of Bangladesh. Linguistics of the Tibeto-Burman Area 43(2). 309–346. DOI logoGoogle Scholar