Review Papers | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015
A Review of Comparatively Study of Different Speaker Recognition Techniques
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
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