Analyzing Human Speech Using Gait Recognition Technology by MFCC Technique-Reference-Cited by-同舟云学术

Analyzing Human Speech Using Gait Recognition Technology by MFCC Technique

Published:2022-11-10 Issue: Volume: Page:713-723
ISSN:2367-3370
Container-title:Proceedings of Third Doctoral Symposium on Computational Intelligence
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Author:

Ravikiran R.,Kumar G. Santhosh,Pareek Piyush Kumar

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-3148-2_61

Reference25 articles.

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3. Arshad H, Khan MA, Sharif M (2019) Multi-level features fusion and selection for human gait recognition: an optimized framework of Bayesian model and binomial distribution. Int J Mach Learn Cybern 10(6):3601–3618

4. Liu ZY, Yang G, Feng GC (2014) Gait recognition based on gabor wavelet and local binary pattern. Zhongshan DaxueXuebao/Acta Scientiarum Natralium Universitatis Sunyatseni 53(4):1–7

5. Tao S, Zhang X, Cai H, Lv Z, Hu C, Xie H (2018) Gait based biometric personal authentication by using MEMS inertial sensors. J Ambient Intell Humaniz Comput 9(5):1705–1712

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