Bangla Speech Recognition Using 1D-CNN and LSTM with Different Dimension Reduction Techniques-Reference-Cited by-同舟云学术

Bangla Speech Recognition Using 1D-CNN and LSTM with Different Dimension Reduction Techniques

Published:2020 Issue: Volume: Page:158-169
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Sabab Md. Nazmus,Chowdhury Mohammad Abidur Rahman,Nirjhor S. M. Mahsanul Islam,Uddin Jia

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-60036-5_11

Reference21 articles.

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2. Nahid, M.M.H., Islam, M.A., Islam, M.S.: A noble approach for recognizing Bangla real number automatically using CMU Sphinx4. In: 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), Dhaka, pp. 844–849. IEEE (2016). https://doi.org/10.1109/iciev.2016.7760121

3. Nasib, A.U., Kabir, H., Ahmed, R., Uddin, J.: A real time speech to text conversion technique for Bengali language. In: 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Rajshahi, pp. 1–4 (2018). https://doi.org/10.1109/ic4me2.2018.8465680

4. Nahid, M.M.H., Purkaystha, B., Islam, M.S.: Bengali speech recognition: a double layered LSTM-RNN approach. In: 2017 20th International Conference of Computer and Information Technology (ICCIT), Dhaka, pp. 1–6. IEEE (2017). https://doi.org/10.1109/iccitechn.2017.8281848

5. Rahman, M.M., Roy Dipta, D., Hasan, M.M.: Dynamic time warping assisted SVM classifier for Bangla speech recognition. In: 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), pp. 1–6. IEEE (2018). https://doi.org/10.1109/ic4me2.2018.8465640

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