Ao is a Tibeto-Burman language spoken in Nagaland, India. It is a low resource, tonal language with three lexical tones, namely, high, mid, and low. However, tone assignment on lexical words may differ among the three dialects of Ao, namely, Chungli, Mongsen, and Changki. In this work, an acoustic study is conducted on the three tones in the three dialects of Ao. It was found that the acoustic characteristics of the tones in the Changki dialect are markedly different from that of the Chungli and the Mongsen dialects. Hence, in the latter part of the work, automatic dialect identification (DID) in the Ao dialects is attempted with Mel Frequency Cepstral Coefficients, Shifted Delta Cepstral coefficients, and F0 features using the Gaussian Mixture models. It is confirmed that in both text-dependent and text-independent DID, the F0 features improve the accuracy of classification.
References
1.
Agrawal
, S. S.
, Jain
, A.
, and Sinha
, S.
(2016
). “Analysis and modeling of acoustic information for automatic dialect classification
,” Int. J. Speech Technol.
19
(3
), 593
–609
.2.
Bates
, D.
, Mächler
, M.
, Bolker
, B.
, and Walker
, S.
(2015
). “Fitting linear mixed-effects models using lme4
,” J. Stat. Softw.
67
(1
), 1
–48
..3.
Biadsy
, F.
, and Hirschberg
, J.
(2009
). “Using prosody and phonotactics in Arabic dialect identification
,” in Proceedings of the Tenth Annual Conference of the International Speech Communication Association
, September 6–10, Brighton, UK.4.
Biadsy
, F.
, Hirschberg
, J.
, and Habash
, N.
(2009
). “Spoken Arabic dialect identification using phonotactic modeling
,” in Proceedings of the EACL 2009 Workshop on Computational Approaches to Semitic Languages
, March 31, Athens, Greece, pp. 53
–61
.5.
Boersma
, P.
(2001
). “Praat, a system for doing phonetics by computer
,” Glot Int.
5
(9
), 341
–345
.6.
Bruhn
, D.
(2009
). “The tonal classification of Chungli Ao verbs
,” UC Berkeley PhonLab Annual Report.7.
Chambers
, J. K.
, and Trudgill
, P.
(1998
). Dialectology
, 2nd ed. (Cambridge University Press
, Cambridge, UK
), pp. 4
–9
.8.
Chang
, W.-W.
, and Tsai
, W.-H.
(2000
). “Chinese dialect identification using segmental and prosodic features
,” J. Acoust. Soc. Am.
108
(4
), 1906
–1913
.9.
Chittaragi
, N. B.
, and Koolagudi
, S. G.
(2019
). “Acoustic-phonetic feature based Kannada dialect identification from vowel sounds
,” Int. J. Speech Technol.
22
(4
), 1099
–1113
.10.
Chittaragi
, N. B.
, Limaye
, A.
, Chandana
, N.
, Annappa
, B.
, and Koolagudi
, S. G.
(2019
). “Automatic text-independent Kannada dialect identification system
,” in Information Systems Design and Intelligent Applications
(Springer
, New York
), pp. 79
–87
.11.
Chitturi
, R.
, and Hansen
, J. H.
(2007
). “Multi-stream dialect classification using svm-gmm hybrid classifiers
,” in Proceeding of the IEEE Workshop on Automatic Speech Recognition & Understanding
, December 9–13, Kyoto, Japan, pp. 431
–436
.12.
Clark
, M. M.
(1893
). The Ao Naga Grammar
(Assam Secretariat Printing Department
, Assam, India
).13.
14.
Coupe
, A. R.
(1998
). “The Acoustic and Perceptual Features of Tone in the Tibeto-Burman Language Ao Naga
,” in Proceedings of the Fifth International Conference on Spoken Language Processing
, November 30–December 4, Sydney, Australia.15.
Coupe
, A. R.
(2007
). A Grammar of Mongsen Ao
, Vol. 39
(Walter de Gruyter
, Berlin, Germany
).16.
Coupe
, A. R.
(2003
). A Phonetic and Phonological Description of Ao: A Tibeto-Burman Language of Nagaland, North-East India
(Pacific Linguistics, Research School of Pacific and Asian Studies
, Manoa, HI
).17.
Dempster
, A. P.
, Laird
, N. M.
, and Rubin
, D. B.
(1977
). “Maximum likelihood from incomplete data via the EM algorithm
,” J. R. Stat. Soc. Ser. B
39
(1
), 1
–22
.18.
Directorate of Census Operation Nagaland
(2011
). “District Census Handbook Mokokchung, Nagaland
,” https://www.censusindia.gov.in/2011census/dchb/1302_PART_B_DCHB_MOKOKCHUNG.pdf (Last viewed 4/21/2021).19.
Etman
, A.
, and Louis
, A.
(2015
). “American dialect identification using phonotactic and prosodic features
,” in Proceedings of the 2015 SAI Intelligent Systems Conference (IntelliSys)
, November 10–11, London, UK, pp. 963
–970
.20.
Fox
, J.
, and Weisberg
, S.
(2019
). An R Companion to Applied Regression
, 3rd ed. (Sage
, Thousand Oaks, CA
).21.
Furui
, S.
(1981
). “Cepstral analysis technique for automatic speaker verification
,” IEEE Trans. Acoust. Speech Signal Process.
29
(2
), 254
–272
.22.
Gowda
, K. S. G.
(1972
). Ao-Naga Phonetic Reader
(Central Institute of Indian Languages
, Mysuru, India
).23.
Gowda
, K. S. G.
(1975
). Ao Grammar
(Central Institute of Indian Languages
, Mysuru, India
).24.
Grierson
, G. A.
(1903
). The Linguistic Survey of India
(Office of the Superintendent of Government printing
, Calcutta, India
).25.
Huang
, R.
, and Hansen
, J. H.
(2007
). “Unsupervised discriminative training with application to dialect classification
,” IEEE Trans. Audio Speech Lang. Process.
15
(8
), 2444
–2453
.26.
Hung
, P. N.
, Ha
, N. T.
, Van Loan
, T.
, Thang
, V. X.
, and Chien
, N. D.
(2019
). “Vietnamese dialect identification on embedded system
,” UTEHY J. Sci. Technol.
24
, 82
–87
.27.
Kakouros
, S.
, Hiovain
, K.
, Vainio
, M.
, and Šimko
, J.
(2020
). “Dialect identification of spoken North Sámi language varieties using prosodic features
,” arXiv:2003.10183.28.
Lei
, Y.
, and Hansen
, J. H. L.
(2011
). “Dialect classification via text-independent training and testing for Arabic, Spanish, and Chinese
,” IEEE Trans. Audio Speech Lang. Process.
19
, 85
–96
.29.
Lin
, W.
, Madhavi
, M.
, Das
, R. K.
, and Li
, H.
(2020
). “Transformer-based Arabic dialect identification
,” in Proceedings of the 2020 International Conference on Asian Language Processing (IALP)
, December 4–6, Singapore, pp. 192
–196
.30.
Ma
, B.
, Zhu
, D.
, and Tong
, R.
(2006
). “Chinese dialect identification using tone features based on pitch flux
,” in Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing
, May 14–19, Toulouse, France.31.
Mingliang
, G.
, and Yuguo
, X.
(2008
). “Chinese dialect identification using clustered support vector machine
,” in Proceedings of the 2008 International Conference on Neural Networks and Signal Processing
, June 7–11, Zhenjiang, China, pp. 396
–399
.32.
Mingliang
, G.
, Yuguo
, X.
, and Yiming
, Y.
(2008
). “Semi-supervised learning based Chinese dialect identification
,” in Proceedings of the 9th International Conference on Signal Processing
, October 26–29, Beijing, China, pp. 1608
–1611
.33.
Murty
, K. S. R.
, and Yegnanarayana
, B.
(2008
). “Epoch extraction from speech signals
,” IEEE Trans. Audio Speech Lang. Process.
16
(8
), 1602
–1613
.34.
R Core Team
(2019
). R: A Language and Environment for Statistical Computing
, R Foundation for Statistical Computing
, Vienna, Austria
, https://www.R-project.org/ (Last viewed 4/21/2021).35.
Rao
, K. S.
, and Koolagudi
, S. G.
(2011
). “Identification of Hindi dialects and emotions using spectral and prosodic features of speech
,” IJSCI: Int. J. Syst. Cybern. Inf.
9
(4
), 24
–33
.36.
Reynolds
, D. A.
, and Rose
, R. C.
(1995
). “Robust text-independent speaker identification using gaussian mixture speaker models
,” IEEE Trans. Speech Audio Process.
3
(1
), 72
–83
.37.
Rose
, P.
(1987
). “Considerations in the normalisation of the fundamental frequency of linguistic tone
,” Speech Commun.
6
(4
), 343
–352
.38.
Rouas
, J.-L.
(2007
). “Automatic prosodic variations modeling for language and dialect discrimination
,” IEEE Trans. Audio Speech Lang. Process.
15
(6
), 1904
–1911
.39.
Sarma
, M.
, and., and Sarma
, K. K.
(2016
). “Dialect identification from Assamese speech using prosodic features and a neuro fuzzy classifier
,” in Proceedings of the 3rd International Conference on Signal Processing and Integrated Networks (SPIN)
, February 11–12, Noida, India, pp. 127
–132
.40.
Shon
, S.
, Ali
, A.
, Samih
, Y.
, Mubarak
, H.
, and Glass
, J.
(2020
). “ADI17: A fine-grained Arabic dialect identification dataset
,” in Proceedings of the 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
, May 4–8, Barcelona, Spain, pp. 8244
–8248
.41.
Singh
, R.
, and Sharma
, A.
(2018
). “Identification system for different Punjabi dialects using random forest
,” Int. J. Comput. Sci. Eng.
6
, 254
–259
.42.
Sinha
, S.
, Jain
, A.
, and Agrawal
, S.
(2015
). “Fusion of multi-stream speech features for dialect classification
,” CSI Trans. ICT
2
(4
), 243
–252
.43.
Temsunungsang
, T.
(2003
). “The structure of Mongsen: Phonology and morphology
,” M.Phil thesis, Hyderabad Central University
, Hyderabad, India.44.
Temsunungsang
, T.
(2016
). “Tonal correspondences in Ao languages of Nagaland
,” in Proceedings of the 22nd Himalayan Languages Symposium
, June 8–10, Guwahati, India.45.
Torres-Carrasquillo
, P. A.
, Gleason
, T. P.
, and Reynolds
, D. A.
(2004
). “Dialect identification using gaussian mixture models
,” in Proceedings of Odyssey 2004
, May 31–June 3, Toledo, Spain.46.
Torres-Carrasquillo
, P. A.
, Singer
, E.
, Kohler
, M. A.
, Greene
, R. J.
, Reynolds
, D. A.
, and Deller
, J. R.
, Jr. (2002
). “Approaches to language identification using Gaussian mixture models and shifted delta cepstral features
,” in Proceedings of the Seventh International Conference on Spoken Language Processing
, September 16–20, Denver, CO.47.
Tsai
, W.-H.
, and Chang
, W.-W.
(1999
). “Chinese dialect identification using an acoustic-phonotactic model
,” in Proceedings of the Sixth European Conference on Speech Communication and Technology
, September 5–9, Budapest, Hungary.48.
Tsai
, W.-H.
, and Chang
, W.-W.
(2002
). “Discriminative training of gaussian mixture bigram models with application to Chinese dialect identification
,” Speech Commun.
36
(3
), 317
–326
.49.
Tzudir
, M.
, Sarmah
, P.
, and Prasanna
, S. M.
(2017
). “Tonal feature based dialect discrimination in two dialects in Ao
,” in Proceedings of the Region 10 Conference, TENCON 2017-2017
, November 5–8, Penang, Malaysia, pp. 1795
–1799
.50.
Tzudir
, M.
, Sarmah
, P.
, and Prasanna
, S. R. M.
(2018
). “Dialect identification using tonal and spectral features in two dialects of Ao
,” in Proceedings of SLTU
, August 29–31, Gurugram, India.51.
Yegnanarayana
, B.
, and Murty
, K. S. R.
(2009
). “Event-based instantaneous fundamental frequency estimation from speech signals
,” IEEE Trans. Audio Speech Lang. Process.
17
(4
), 614
–624
.52.
53.
Zhang
, Q.
, and., and Hansen
, J. H.
(2017
). “Dialect recognition based on unsupervised bottleneck features
,” in Proceedings of Interspeech 2017
, August 20–24, Stockholm, Sweden, pp. 2576
–2580
.54.
Zhang
, Q.
, and Hansen
, J. H.
(2018
). “Language/dialect recognition based on unsupervised deep learning
,” IEEE/ACM Trans. Audio Speech Lang. Process.
26
(5
), 873
–882
.55.
Zissman
, M. A.
, Gleason
, T. P.
, Rekart
, D.
, and Losiewicz
, B. L.
(1996
). “Automatic dialect identification of extemporaneous conversational, Latin American Spanish speech
,” in Proceedings of ICASSP1996
, May 7–10, Atlanta, GA.© 2021 Acoustical Society of America.
2021
Acoustical Society of America
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