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Title: :  Speaker Recognition Using MFCC and Combination of Deep Neural Networks
PaperId: :  2387
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2387
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Keshvi KansaraL.J Institute of Technology
Dr. A.C SutharL.J Institute of Technology

Abstract

Electronics and Communication Engineering
Auto-encoder, Butterfly structure, Deep Neural Network, Speaker Recognition
Speaker Recognition is a process of validation of a person’s identity based on his/her voice. The two major steps in speaker recognition are: Extraction of Features and Matching of Features. A direct analysis and synthesizing of the complex voice signal is difficult as a large amount of information is contained in the signal. Several methods have been used to obtain speaker related features and matching of the features. In the following paper we combine the use of different methods to obtain a speaker recognition system. The conventional method can be combined with other methods to obtain better efficiency of the system. In the proposed approach the feature extraction is done using conventional Mel Cepstral Coefficients and a Butterfly structure Deep Neural Network (also called as Deep Autoencoder). After obtaining the coefficients the Deep Neural Network (DNN) is trained for the classification purpose. DNN can be directly used to pull out features and then classify speakers using same DNN but the MFCC and Auto-encoder are used at first for data compression and to get maximum number of features thus getting better efficiency and faster results. The Deep Autoencoder undergoes unsupervised training and DNN undergoes supervised training. Features are obtained for three different classes and these features are then used to train the Deep Neural Network. After the training phase deep neural network can be used as classifier but only for the classes that have been used during the training and for the same text or phrase used during the training time.

Citations

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IJARIIE Keshvi Kansara, and Dr. A.C Suthar. "Speaker Recognition Using MFCC and Combination of Deep Neural Networks" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 3008-3013
MLA Keshvi Kansara, and Dr. A.C Suthar. "Speaker Recognition Using MFCC and Combination of Deep Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 3008-3013.
APA Keshvi Kansara, & Dr. A.C Suthar. (2016). Speaker Recognition Using MFCC and Combination of Deep Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 3008-3013.
Chicago Keshvi Kansara, and Dr. A.C Suthar. "Speaker Recognition Using MFCC and Combination of Deep Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 3008-3013.
Oxford Keshvi Kansara, and Dr. A.C Suthar. 'Speaker Recognition Using MFCC and Combination of Deep Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 3008-3013. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Speaker_Recognition_Using_MFCC_and_Combination_of_Deep_Neural_Networks_ijariie2387.pdf (Accessed : 18 April 2017).
Harvard Keshvi Kansara, and Dr. A.C Suthar. (2016) 'Speaker Recognition Using MFCC and Combination of Deep Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 3008-3013IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Speaker_Recognition_Using_MFCC_and_Combination_of_Deep_Neural_Networks_ijariie2387.pdf (Accessed : 18 April 2017)
IEEE Keshvi Kansara, and Dr. A.C Suthar, "Speaker Recognition Using MFCC and Combination of Deep Neural Networks," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 3008-3013, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/Speaker_Recognition_Using_MFCC_and_Combination_of_Deep_Neural_Networks_ijariie2387.pdf [Accessed : 18 April 2017].
Turabian Keshvi Kansara, and Dr. A.C Suthar. "Speaker Recognition Using MFCC and Combination of Deep Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 (18 April 2017).
Vancouver Keshvi Kansara, and Dr. A.C Suthar. Speaker Recognition Using MFCC and Combination of Deep Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 18 April 2017]; 2(3) : 3008-3013. Available from: https://ijariie.com/AdminUploadPdf/Speaker_Recognition_Using_MFCC_and_Combination_of_Deep_Neural_Networks_ijariie2387.pdf
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