Abstract
RESPIN is a project that aims at the development of a dialect-rich database and some user-friendly voice-technology applications in 9 Indian languages including Chhattisgarhi. The paper elaborates on the entire process of such a low-resource database preparation in a crowd-sourced manner . Through this work we have open-sourced around 250 h of dialect-rich, domain-rich Chhattisgarhi ASR dataset to popularize the scope of voice technology to the Chhattisgarh population. The paper also describes the development of a base model with a WER score of 11.58% on the test set.
Supported by Bill & Melinda Gates Foundation (BMGF).
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References
Gumperz, J.J.: Speech variation and the study of Indian civilization. Am. Anthropol. 63(5), 976–988 (1961)
Londhe, N.D., Kshirsagar, G.B.: Speaker independent isolated words recognition system for chhattisgarhi dialect. In: 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), pp. 1–6 (2017). https://doi.org/10.1109/ICIIECS.2017.8276169
Londhe, N.D., Kshirsagar, G.B., Tekchandani, H.: Deep convolution neural network based speech recognition for chhattisgarhi. In: 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN), pp. 667–671 (2018). https://doi.org/10.1109/SPIN.2018.8474064
Londhe, N., Kshirsagar, G.: Chhattisgarhi speech corpus for research and development in automatic speech recognition. Int. J. Speech Technol. 21, 193–210 (2018)
Mandal, R.B.: Patterns of regional geography: an international perspective \(\cdot \), vol. 2, p. 140 (1990)
Maps of India.com: Economy of chhattisgarh. https://www.mapsofindia.com/chhattisgarh/economy/, (Accessed 31 July 2023)
MP Tour and Travels.com: Languages of chhattisgarh, chhattisgarh tourism. https://www.chhattisgarhtourism.co.in/languages-of-chhattisgarh.html, (Accessed 31 July 2023)
Office of the registrar general: Census of India 2011. https://censusindia.gov.in/2011Census/C-16_25062018_NEW.pdf, (Accessed 07 October 2021)
Povey, D., et al.: The Kaldi Speech recognition toolkit. In: Proceedings of ASRU (December 2011)
Povey, D., et al.: Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI. In: Proceedings of Interspeech 2016, pp. 2751–2755 (2016). https://doi.org/10.21437/Interspeech.2016–595
Sethi, N., Dev, A.: Survey on automatic speech recognition systems for indic languages. In: Dev, A., Agrawal, S.S., Sharma, A. (eds.) AIST 2021. CCIS, vol. 1546, pp. 85–98. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-95711-7_8
Stolcke, A.: SRILM - An extensible language modeling toolkit. In: INTERSPEECH (2002)
Vydana, H.K.: Salient Features for Multilingual Speech Recognition in Indian Scenario. Ph.D. thesis (Jan 2019). http://hdl.handle.net/10603/246056
World Bank staff estimates based on the United Nations Population Divisions, World Urbanization Prospects: Rural population (\(\%\) of total population) - india. https://data.worldbank.org/indicator/SP.RUR.TOTL.ZS?locations=IN, (Accessed 31 July 2023)
Acknowledgements
We thank everyone who supported us throughout this study. We especially thank the funding agency BMGF, the validators, and other volunteers who contributed to collecting the database.
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Singh, A. et al. (2023). An ASR Corpus in Chhattisgarhi, a Low Resource Indian Language. In: Karpov, A., Samudravijaya, K., Deepak, K.T., Hegde, R.M., Agrawal, S.S., Prasanna, S.R.M. (eds) Speech and Computer. SPECOM 2023. Lecture Notes in Computer Science(), vol 14339. Springer, Cham. https://doi.org/10.1007/978-3-031-48312-7_14
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