Development of a Novel Database in Gujarati Language for Spoken Digits Classification-Reference-Cited by-同舟云学术

Development of a Novel Database in Gujarati Language for Spoken Digits Classification

Published:2020 Issue: Volume: Page:208-219
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Dalsaniya Nikunj,Mankad Sapan H.,Garg Sanjay,Shrivastava Dhuri

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-4828-4_18

Reference28 articles.

1. Gujarat - region wise result, May 2019. https://specials.manoramaonline.com/News/2017/gujarat-election-results/indepth-ml.html

2. Alotaibi, Y.A.: Spoken Arabic digits recognizer using recurrent neural networks. In: Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, pp. 195–199, December 2004

3. Anina, I., Zhou, Z., Zhao, G., Pietikäinen, M.: OuluVS2: a multi-view audiovisual database for non-rigid mouth motion analysis. In: 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), vol. 1, pp. 1–5, May 2015

4. Lecture Notes in Computer Science;E Bailly-Bailliére,2003

5. Brahme, A., Bhadade, U.: Marathi digit recognition using lip geometric shape features and dynamic time warping. In: TENCON 2017 – 2017 IEEE Region 10 Conference, pp. 974–979, November 2017

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self- attention based optimized deep convolutional robust character and numeral recognition from Gujarati language;Multimedia Tools and Applications;2024-07-30

2. Amharic spoken digits recognition using convolutional neural network;Journal of Big Data;2024-05-04

3. Swahili Speech Dataset Development and Improved Pre-training Method for Spoken Digit Recognition;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-07-20

4. Spoken Arabic Digits Recognition System Using Convolutional Neural Network;Advances in Intelligent Systems and Computing;2021