Improvements in Language Modeling, Voice Activity Detection, and Lexicon in OpenASR21 Low Resource Languages
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48312-7_6
Reference19 articles.
1. Alumäe, T., Kong, J.: Combining hybrid and end-to-end approaches for the OpenASR20 challenge. In: Proceedings of the Interspeech, pp. 4349–4353 (2021)
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3. Goldstein, H., Healy, M.J.R.: The graphical presentation of a collection of means. J. Roy. Stat. Soc.: Ser. A: Appl. Stat. 158, 175–177 (1995)
4. Gupta, V., Boulianne, G.: CRIM’s speech recognition system for OpenASR21 evaluation with conformer and voice activity detector embeddings. In: Prasanna, S.R.M., Karpov, A., Samudravijaya, K., Agrawal, S.S. (eds.) Speech and Computer, pp. 238–251. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-20980-2_21
5. Han, K.J., Pan, J., Tadala, V.K.N., Ma, T., Povey, D.: Multistream CNN for robust acoustic modeling. In: Proceedings of the ICASSP, pp. 6873–6877 (2021)
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