Dialect Identification in Ao Using Modulation-Based Representation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48312-7_43
Reference29 articles.
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2. Biadsy, F., Hirschberg, J., Habash, N.: Spoken Arabic dialect identification using phonotactic modeling. In: Proceedings of the EACL Workshop on Computational Approaches to Semitic Languages, pp. 53–61. Stroudsburg, PA, USA (2009)
3. Cassani, R., Albuquerque, I., Monteiro, J., Falk, T.H.: AMA: an open-source amplitude modulation analysis toolkit for signal processing applications. In: 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 1–4. IEEE (2019)
4. Chambers, J.K., Trudgill, P.: Dialectology, vol. $$2^{nd}$$ edition. Cambridge University Press (1998)
5. Chittaragi, N.B., Koolagudi, S.G.: Dialect identification using chroma-spectral shape features with ensemble technique. Comput. Speech Lang. 70, 101230 (2021)
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