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Performance Comparison Of 2-D DCT On Full/Block Spectrogram And 1-D DCT on Row Mean of Spectrogram for Speaker Identification
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International Journal of Biometrics and Bioinformatics (IJBB)
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Volume:  4    Issue:  3
Pages:  100-135
Publication Date:   July 2010
ISSN (Online): 1985-2347
100 - 112
Published Date   
CSC Journals, Kuala Lumpur, Malaysia
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
KEYWORDS:   Speaker identification, , Speaker Recognition, , Spectrograms, , DCT, , Row Mean 
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The goal of this paper is to present a very simple approach to text dependent speaker identification using a combination of spectrograms and well known Discrete Cosine Transform (DCT). This approach is based on use of DCT to find similarities between spectrograms obtained from speech samples. The set of spectrograms forms the database for our experiments rather than raw speech samples. Performance of this approach is compared for different number of coefficients of DCT when DCT is applied on entire spectrogram, when DCT is applied to spectrogram divided into blocks and when DCT is applied to the Row Mean of a spectrogram. Performance comparison shows that, number of mathematical computations required for DCT on Row Mean of spectrogram method is drastically less as compared to other two methods with almost equal identification rate. 
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15 H.B.Kekre, Sudeep D. Thepade, “Improving the Performance of Image Retrieval using Partial Coefficients of Transformed Image”, International Journal of Information Retrieval (IJIR), Serials Publications, Volume 2, Issue 1, pp. 72-79 (ISSN: 0974-6285), 2009.
16 H.B.Kekre, Tanuja Sarode, Sudeep D. Thepade, “DCT Applied to Row Mean and Column Vectors in Fingerprint Identification”, In Proceedings of International Conference on Computer Networks and Security (ICCNS), 27-28 Sept. 2008, VIT, Pune.
17 H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant Shah, Prathmesh Verlekar, Suraj Shirke,“Energy Compaction and Image Splitting for Image Retrieval using Kekre Transform over Row and Column Feature Vectors”, International Journal of Computer Science and Network Security (IJCSNS),Volume:10, Number 1, January 2010, (ISSN: 1738-7906) Available at
18 H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant Shah, Prathmesh Verlekar, Suraj Shirke, “Performance Evaluation of Image Retrieval using Energy Compaction and Image Tiling over DCT Row Mean and DCT Column Mean”, Springer-International Conference on Contours of Computing Technology (Thinkquest-2010), Babasaheb Gawde Institute of Technology, Mumbai, 13-14 March 2010, The paper will be uploaded on online Springerlink.
19 ] H.B.Kekre, Tanuja K. Sarode, Sudeep D. Thepade, Vaishali Suryavanshi, “Improved Texture Feature Based Image Retrieval using Kekre’s Fast Codebook Generation Algorithm”, Springer-International Conference on Contours of Computing Technology (Thinkquest-2010), Babasaheb Gawde Institute of Technology, Mumbai, 13-14 March 2010, The paper will be uploaded on online Springerlink.
20 H. B. Kekre, Tanuja K. Sarode, Sudeep D. Thepade, “Image Retrieval by Kekre’s Transform Applied on Each Row of Walsh Transformed VQ Codebook”, (Invited), ACM-International Conference and Workshop on Emerging Trends in Technology (ICWET 2010),Thakur College of Engg. And Tech., Mumbai, 26-27 Feb 2010, The paper is invited at ICWET 2010. Also will be uploaded on online ACM Portal.
21 H. B. Kekre, Tanuja Sarode, Sudeep D. Thepade, “Color-Texture Feature based Image Retrieval using DCT applied on Kekre’s Median Codebook”, International Journal on Imaging (IJI), Volume 2, Number A09, Autumn 2009,pp. 55-65. Available online at (ISSN: 0974-0627).
22 H. B. Kekre, Ms. Tanuja K. Sarode, Sudeep D. Thepade, "Image Retrieval using Color-Texture Features from DCT on VQ Codevectors obtained by Kekre’s Fast Codebook Generation", ICGST-International Journal on Graphics, Vision and Image Processing (GVIP), Volume 9, Issue 5, pp.: 1-8, September 2009. Available online at
23 H. B. Kekre, Sudeep Thepade, Akshay Maloo, “Image Retrieval using Fractional Coefficients of Transformed Image using DCT and Walsh Transform”, International Journal of Engineering Science and Technology, Vol.. 2, No. 4, 2010, 362-371
24 H. B. Kekre, Sudeep Thepade, Akshay Maloo,”Performance Comparison of Image Retrieval Using Fractional Coefficients of Transformed Image Using DCT, Walsh, Haar and Kekre’s Transform”, CSC-International Journal of Image processing (IJIP), Vol.. 4, No.2, pp.:142-155, May 2010.
25 H. B. Kekre, Tanuja Sarode “Two Level Vector Quantization Method for Codebook Generation using Kekre’s Proportionate Error Algorithm” , CSC-International Journal of Image Processing, Vol.4, Issue 1, pp.1-10, January-February 2010
26 H. B. Kekre, Sudeep Thepade, Akshay Maloo, “Eigenvectors of Covariance Matrix using Row Mean and Column Mean Sequences for Face Recognition”, CSC-International Journal of Biometrics and Bioinformatics (IJBB), Volume (4): Issue (2), pp. 42-50, May 2010.
1 Dr. H. B. Kekre ,Dr. T. K. Sarode ,S. J. Natu and Pr. J. Natu, “Performance Comparison of Speaker Identification Using DCT, Walsh, Haar on Full and Row Mean of Spectrogram ”, International Journal of Computer Applications, 5(6), pp. 30–37, August 2010.
2 H. B. Kekre, T. K. Sarode and M. S. Ugale, “An Efficient Image Classifier Using Discrete Cosine Transform”, in Proceedings of the International Conference & Workshop on Emerging Trends in Technology, New York, NY, USA 2011.
3 H.B. Kekre , T. K. Sarode and M. S. Ugale, “Performance Comparison of Image Classifier using Discrete Cosine Transform and Walsh Transform” in IJCA Proceedings on International Conference and workshop on Emerging Trends in Technology (ICWET) (4), 2011, pp. 14-20.
4 Dr. H. B. Kekre , Dr. T. K. Sarode , P. Bhatia , S. N. Nayak and D. J. Nagpal, “Iris Recognition using Partial Coefficients by applying Discrete Cosine Transform, Haar Wavelet and DCT Wavelet Transform” International Journal of Computer Applications 32(6), pp. 39-43, October 2011.
H. B. Kekre : Colleagues
Tanuja Kiran Sarode : Colleagues
Shachi J. Natu : Colleagues
Prachi J. Natu : Colleagues  
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