A Review of Comparatively Study of Different Speaker Recognition Techniques
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Review Papers | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015

A Review of Comparatively Study of Different Speaker Recognition Techniques

Umer Malik

In this paper, we describe a brief overview of the speaker recognition techniques with their processing steps. Speaker recognition has many problems in feature extraction due to the robustness of the speech with noise. Gamma Tone Filter Bank and Wavelet Packet for the speaker recognition have the best performance over the Hidden Markov Model, Mel Frequency Cepstral Coefficient, Dynamic Time Warping and Layered Recurrent Neural Network. The system performance was measured by recognition rate with various signal-to-noise ratios over -10 to 10 dB.

Keywords: Speaker recognition, neural network, Gamma tone filter, wavelet packet, HMM, MFCC

Edition: Volume 4 Issue 4, April 2015

Pages: 1769 - 1771

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How to Cite this Article?

Umer Malik, "A Review of Comparatively Study of Different Speaker Recognition Techniques", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB153511, Volume 4 Issue 4, April 2015, 1769 - 1771

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