Automatic speech recognition of Urdu words using linear discriminant analysis

Author:

Ali Hazrat1,Ahmad Nasir2,Zhou Xianwei1

Affiliation:

1. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, P.R. China

2. Department of Computer Systems Engineering, University of Engineering and Technology Peshawar, Peshawar, Pakistan

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference22 articles.

1. Dynamic programming algorithm optimization for spoken word recognition;Sakoe;IEEE Transactions on Acoustic, Speech and Signal Processing,1978

2. A simplified audiovisual fusion model with application to large-vocabulary recognition of French Canadian speech;Gagnon;Canadian Journal of Electrical and Computer Engineering,2008

3. Large vocabulary speaker-independent Japanese speech recognition system;Morii;in IEEE International Conference on Acoustics, Speech and Signal Processing,1985

4. NICT/ATR Chinese-Japanese-English speech-to-speech translation system;Shimizu;Tshingua Science and Technology,2008

5. SHTQS: A telephone-based Chinese spoken dialogue system;Jiaju;Journal of Systems Engineering and Electronics,2005

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1. Sentiment analysis with word-based Urdu speech recognition;Journal of Ambient Intelligence and Humanized Computing;2021-09-30

2. A review on speech processing using machine learning paradigm;International Journal of Speech Technology;2021-01-20

3. Input Based Multiple Destination, Multiple Lines Following Robot with Obstacle Bypassing;ICST Transactions on Scalable Information Systems;2018-04-13

4. Design of continuous recognition algorithm for online interactive english speech segment;Journal of Discrete Mathematical Sciences and Cryptography;2017-10-03

5. Urdu Speech Corpus and Preliminary Results on Speech Recognition;Engineering Applications of Neural Networks;2016

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