Learning Mizo Tones from F0 Contours Using 1D-CNN

Author:

Gogoi Parismita,Kalita Sishir,Lalhminghlui Wendy,Sarmah Priyankoo,Prasanna S. R. M.

Publisher

Springer International Publishing

Reference32 articles.

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3. Chen, C., Bunescu, R., Xu, L., Liu, C.: Tone classification in mandarin Chinese using convolutional neural networks. In: Interspeech 2016, pp. 2150–2154 (2016). https://doi.org/10.21437/Interspeech.2016-528. http://dx.doi.org/10.21437/Interspeech.2016-528

4. Chen, X.X., Cai, C.N., Guo, P., Sun, Y.: A Hidden Markov Model applied to Chinese four-tone recognition. In: ICASSP 1987. IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 12, pp. 797–800. IEEE (1987)

5. Chhangte, L.: Mizo Syntax. Ph.D. thesis, University of Oregon (1993)

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1. Multi-class identification of tonal contrasts in Chokri using supervised machine learning algorithms;Humanities and Social Sciences Communications;2024-05-10

2. A Preliminary Analysis on the Correlates of Stress and Tones in Mizo;ACM Transactions on Asian and Low-Resource Language Information Processing;2022-12-27

3. Mizo to English Machine Translation: An Evaluation Benchmark;2022 International Conference on Futuristic Technologies (INCOFT);2022-11-25

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