Speaker Verification using CWT DWT Transform and Neural Network

Authors

  • Dr. Vinodpuri Rampuri Gosavi  G. S. Mandal's, Maharashtra Institute of Technology (An Autonomous Institute) Aurangabad, Maharashtra India
  • Dr. Manju D. Pawar  G. S. Mandal's, Maharashtra Institute of Technology (An Autonomous Institute) Aurangabad, Maharashtra India
  • Dr. Ganesh S. Sable  G. S. Mandal's, Maharashtra Institute of Technology (An Autonomous Institute) Aurangabad, Maharashtra India

DOI:

https://doi.org/10.32628/IJSRST229317

Keywords:

Wavelet Transform, Neural Network, FFBPNN, Feature Extraction, Database.

Abstract

In this Present study, the technique of wavelet transform and neural network were developed for speech based text-dependent and text0independent speaker identification. 390 feature were fed to feed-forward back propagation neural network for classification The function of feature extraction and classification are performed using wavelet and neural network system. The declared result shows that the proposed method can make an effective analysis with average identification rate reaching 98%. The best recognition rate selection obtained was for FFBPNN (Feed Forward Back Propagation Neural Network).

References

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International Journal of Scientific Research in Science and Technology

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Published

2022-06-30

Issue

Volume 9, Issue 3, May-June-2022

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Vinodpuri Rampuri Gosavi, Dr. Manju D. Pawar, Dr. Ganesh S. Sable "Speaker Verification using CWT DWT Transform and Neural Network" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 3, pp.125-130, May-June-2022. Available at doi : https://doi.org/10.32628/IJSRST229317