Bengali Accent Classification from Speech Using Different Machine Learning and Deep Learning Techniques-Reference-Cited by-同舟云学术

Bengali Accent Classification from Speech Using Different Machine Learning and Deep Learning Techniques

Published:2020-11-28 Issue: Volume: Page:503-513
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Badhon S. M. Saiful Islam,Rahaman Habibur,Rupon Farea Rehnuma,Abujar Sheikh

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-7394-1_46

Reference15 articles.

1. Mamun, R.K., Abujar, S., Islam, R., Badruzzaman, K.B.M., Hasan, M.: Bangla speaker accent variation detection by MFCC using recurrent neural network algorithm: a distinct approach. In: Saini, H., Sayal, R., Buyya, R., Aliseri, G. (eds.), Innovations in computer science and engineering. Lecture notes in networks and systems, vol. 103 (2020). Springer, Singapore

2. Bengali language. https://en.wikipedia.org/wiki/Bengali_language. Accessed on 4 Apr 2020

3. Lin, F., Wu, Y., Zhuang, Y., Long, X., Xu, W.: Human Gender Classification: A Review (2015)

4. Jiao, Y., Tu, M., Berisha, V., Liss, J.: Accent identification by combining deep neural networks and recurrent neural networks trained on long and short term features. Proc. Interspeech 2016, 2388–2392 (2016)

5. Patel, I., Kulkarni, R., Yarravarapu, S.R.: Automatic non-native dialect and accent voice detection of south Indian English. Adv. Image Video Process 5. https://doi.org/10.14738/aivp.51.2749

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