Constant Q Cepstral Coefficients and Long Short-Term Memory Model-Based Automatic Speaker Verification System

Author:

Mittal Aakshi,Dua Mohit

Publisher

Springer Singapore

Reference26 articles.

1. Dua, M., Aggarwal, R.K., Biswas, M.: Performance evaluation of Hindi speech recognition system using optimized filterbanks. Int. J. Eng. Sci. Technol. 1(3), 389–398 (2018)

2. Dua, M., Aggarwal, R., Kadyan, V., Dua, S.: Punjabi speech to text system for connected words, pp. 206–209 (2012)

3. Glover, J.C., Lazzarini, V., Timoney, J.: Python for audio signal processing (2011)

4. Cheuk, K.W., Anderson, H., Agres, K., Herremans, D.: nnAudio: an on-the-fly GPU audio to spectrogram conversion toolbox using 1D convolution neural networks. www.arXiv:1912.12055 (2019)

5. Chakroborty, S., Saha, G.: Improved text-independent speaker identification using fused MFCC & IMFCC feature sets based on Gaussian filter. Int. J. Signal Process. 5(1), 11–19 (2009)

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