IDENTIFIKASI PEMBICARA DENGAN WAVELET ORTHOGONAL COIFLET
Keywords:
Transformasi Wavelet, Identifikasi Pembicara, Proses Sinyal, Wavelet basis orthogonal, Tingkat Dekomposisi, JST Multilayer Perceptron
Abstract
Transformasi Wavelet merupakan sarana yang mulai popular pada pemrosesan sinyal, seperti citra dan suara. Transformasi Wavelet merupakan alat yang sesuai untuk menganalisis sinyal nonstationer (seperti suara) dan memiliki kemampuan yang baik dalam melokalisasi frekuensi dan waktu sinyal.
Pada penelitian ini akan mengunakan tipe wavelet berbasis orthogonal yaitu coiflet berorde 4 dengan tingkat dekomposisi 10 dan 15. Pada pencocokan polanya menggunakan JST multi-layer perceptron.
Hasil eksperimen menunjukkan bahwa Transformasi Wavelet merupakan suatu metode ekstraksi ciri yang handal untuk identifikasi pembicara yang mampu bersaing dengan tools lainnya dan Wavelet tipe coiflet memberikan tingkat pengenalan sebesar 84%.
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References
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Campbell, J.P,JR. 1997. Speaker Recognition: A Tutorial. Proc. IEEE, vol.85, no 9,pp1437-1462,1997
Fausett, L. 1994. Fundamentals of Neural Network. Prentice Hall, Englewood Cliffs,NJ.
Fu, L. 1994. Neural Network in Computer Intelligence. McGraw-Hill, Singapore.
Gonzalez R.C., Wood, R.E. 2002, Digital Image Processing, Second Edition, Prentice Hall, Inc
Ho, C.E. 1998. Speaker Recognition System. Project Report. California Institut of Technology.
Jang,J.S.R, Sun, C.T, Mizutani, E. 1997, Neuro Fuzzy and Soft Computing, A Computational Approach to Learning and Machine Intelligence, International Edition, Prentice-Hall International Inc.
Krishnan, M., Neophytou C.P., Prescott G.1994, Wavelet Transform Speech Recognition Using Vector Quantization, Dynamic Time Warping and Artificial Neural Networks, Center of excellence in computer aided systems engineering and Telecominication & Information Sciences Laboratory 2291 Irving Hill Drive, Lawrence, KS 66045.
Mallat, Stephane, 1999, A Wavelet Tour Of Signal Processing, Second Edition, Academic Press 24-28 Oval Road, London NW1 7DX UK, http://www.hbuk.co.uk/ap/
Mudry, A.H.1997. Speaker Identification using Wavelet Transform, Tesis Master of Engineering, Ottawa-Carleton Institut of Electrical Engineering, Ontario
Proakis J.G., Manolakis.D.G. 1997, Pemrosesan Sinyal Digital, edisi Bahasa Indonesia jilid 1, Prenhallindo, Jakarta
Rabiner, L.R., Juang B.H., 1993, Fundamentals of Speech Recognition, Prentice Hall, New Jersey, 1993, ISBN 0-13-015157-2.
Xafopoulos, A. 2001. Speaker Verification (an overview). TUT-TICSP presentation. TICSP (Tampere International Center for Signal Processing), TUT (Tampere Univ. of Technology), Tampere Finland.
Johnson A.J., 1962, On the Vibration an Amplitudes of Ship Hulls, Transaction of IESS.
Lewis F. M, 1929, The Inertia of Water Surrounding of Vibration Ship, Transaction of RINA., Volume 37, London.
Schlick O., (1894 – 1991), Summary of Article on Ship Vibration, in Transaction of INA., London.
Taylor J.L., 1930, Some Measurement of Ship Vibration, Transaction of NECI., Newcastle Upon Tyne.
Todd F. M., 1961, Ship Hull Vibration, A Comparises of Measured and Calculated Frequencies, Edward Arnold (Publishers) Ltd., First Edition.
Townsin N. L., 1961, The Calculation of the Higher Modes Frequencies in Ship Vibration, The Shipbuilder and Marine Engineer Builder, London.
Vorus W. 1988, Chapter Entitled “Vibrationâ€, The Principles of Naval Architecture, The Society of NAME., New York.
Published
2007-03-01
How to Cite
[1]
K. AGUSTINI, “IDENTIFIKASI PEMBICARA DENGAN WAVELET ORTHOGONAL COIFLET”, BAREKENG: J. Math. & App., vol. 1, no. 1, pp. 12-19, Mar. 2007.
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