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Multimedia analysis for disguised voice and classification efficiency

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Abstract

For multimedia analysis of electronic disguised method is a speech editing process in which the characteristics of voice have been changed. Frequency spectrum characteristics of the speech signal during electronic disguised have also changed. In this paper proposed a method for deriving an algorithm for extracted the efficiency of disguised voice from its normal voice. By using practical approaches for disguising the voice by a different semitone. Mel-frequency cepstral coefficients (MFCC), delta Mel-frequency cepstral coefficients (ΔMFCC), double delta Mel-frequency cepstral coefficients (ΔΔMFCC) based feature extraction techniques compute the acoustic feature and its statistical moments mean and correlation coefficient. Acoustic feature and its statistical moments passed through the different types of the algorithm-based classifier. By using different classifier find the efficiency of disguised voice.

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Authors and Affiliations

  1. Department of ECE, JUET, Guna, MP, India

    Mahesh K. Singh & Narendra Singh

  2. Department of ECE, Thapar University, Patiala, Punjab, India

    A. K. Singh

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  1. Mahesh K. Singh
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  2. A. K. Singh
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  3. Narendra Singh
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Correspondence to Mahesh K. Singh.

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Singh, M.K., Singh, A.K. & Singh, N. Multimedia analysis for disguised voice and classification efficiency. Multimed Tools Appl 78, 29395–29411 (2019). https://doi.org/10.1007/s11042-018-6718-6

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  • DOI: https://doi.org/10.1007/s11042-018-6718-6

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