Urdu Spoken Digits Recognition Using Classified MFCC and Backpropgation Neural Network-Reference-Cited by-同舟云学术

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Urdu Spoken Digits Recognition Using Classified MFCC and Backpropgation Neural Network

Published:2007-08 Issue: Volume: Page:
ISSN:
Container-title:Computer Graphics, Imaging and Visualisation (CGIV 2007)
language:
Short-container-title:

Author:

Azam S. M.,Mansoor Z.A.,Mughal M. Shahzad,Mohsin S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4293633/4293634/04293707.pdf?arnumber=4293707

Cited by 8 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. Isolated Words Speech Recognition System for Brahvi Language using Recurrent Neural Network;2023 17th International Conference on Open Source Systems and Technologies (ICOSST);2023-12-20

2. AUDD: Audio Urdu Digits Dataset for Automatic Audio Urdu Digit Recognition;Applied Sciences;2021-09-23

3. Long short-term memory recurrent neural network architectures for Urdu acoustic modeling;International Journal of Speech Technology;2018-11-08

4. Automatic speech recognition of Urdu words using linear discriminant analysis;Journal of Intelligent & Fuzzy Systems;2015-06-23

5. Linear Discriminant Analysis Based Approach for Automatic Speech Recognition of Urdu Isolated Words;Communications in Computer and Information Science;2014

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