Audio fingerprint analysis for speech processing using deep learning method

Author:

Altalbe AliORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference20 articles.

1. Al-Maathidi, M. M., & Li, F. F. (2012). NNET based audio content classification and indexing system. International Journal of Digital Information and Wireless Communications (IJDIWC), 2(4), 335–347.

2. Chen, T., Kuan, K., Celi, L., & Clifford, G. D. (2010). Intelligent heartsound diagnostics on a cellphone using a hands-free kit. AAAI Spring Symposium Series, 2010, 26–31.

3. Christopher PraveenKumar, R., Suguna, S., & Becky Elfreda, J. (2014). Audio retrieval based on cepstralfeature. International Journal of Computers and Applications, 107(17), 28–33.

4. Deng, S. W., & Han, J. Q. (2016). Towards heart sound classification without segmentation via autocorrelation feature and diffusion maps. Future Generation Computer Systems, 60, 13–21.

5. Díaz-García, J., Brunet, P., Navazo, I., Vázquez, P.P. (2017). Down sampling methods for medical datasets. In Proceedings of the international conferences on computer graphics, visualization, computer vision and image processing 2017 and big data analytics, data mining and computational intelligence 2017—Part of the multi-conference on computer science and info, Lisbon, Portugal, 23 July 2017; pp. 12–20.

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