Effect of Spectrogram Preprocessing and Enhancement on Speaker Recognition Performance

Akinrinmade, A. and Adetiba, E. and Badejo, J. A. and Popoola, A. P. I. (2023) Effect of Spectrogram Preprocessing and Enhancement on Speaker Recognition Performance. In: 2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG), 05-04-April 2023, Omu-Aran, Nigeria.

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Abstract

Preprocessing in biometrics is the process of fine-tuning input data or features extracted from data by applying varying techniques to improve recognition performance. In most speaker recognition literature, researchers are silent about how the decision for such parameters used was chosen. This work systematically arrived at such decisions by carrying out several experiments on preprocessing and enhancement of spectrograms to see the effect on speaker recognition performance using a Convolutional Neural Network. First, different preprocessing experiments were carried out, one preprocessing parameter, in turn, was varied while the others were kept constant and eventually, the best parameters for all the preprocessing methods were combined to produce a spectrogram that yielded the best accuracy. The second part consists of enhancement experiments, where a series of image improvement techniques were applied to the spectrograms to further improve the initial accuracy. With the right parametric combination of the preprocessing techniques, speaker recognition improved by 25%. Spectrogram enhancements improved performance by a further 1%. Experimental results revealed that the dimensionality of a spectrogram can be significantly reduced with a very negligible drop in the overall performance which can enhance storage and computational requirements.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	ORIGBOEYEGHA
Date Deposited:	16 Sep 2024 12:20
Last Modified:	16 Sep 2024 12:20
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/18408

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