PEMODELAN JARINGAN SYARAF TIRUAN RESILIENT BACKPROPAGATION UNTUK KONVERSI SUARA GITAR KE CORD

Yosi Nurhayati, Agus Buono

Abstract


The guitar is a musical instrument that has a chord as a reference tone. It is a fact that is not all human auditory system can distinguish between high and low tones of a musical instrument in good accurate. Then, in this research we develop a voice guitar to cord conversion using resilient backproagation neural network (RBNN) as to classifier and Mel Frequency Cepstrum Coefficient (MFCC) as feature extraction. We record 345 for each cord (totally we have 8640 recording data with WAV format). Experiments are conducted for some number of cepstral coefficients (13, 26, and 39), with 100 millisecond as time frame and 40% overlapping between successive frame. Total number of hidden neurons in RBNN model in this experiments are 10, 25, 50 and 100. According to the experiment, the maximum accuracy is 96.88% for 52 number of cepstral coefficients and 100 neurons hidden.


Keywords


Chord, Resilient Backpropagation Neural Network, Mel Frequency cepstral Coefficients (MFCC).

References


Buono A. (2009). Representasi Nilai HOS dan Model MFCC Sebagai Ekstraksi Ciri Pada Sistem Identifikasi Pembicara di Lingkungan Ber-Noise Menggunakan HMM.[Disertasi]. Depok: Program Pascasarjana, Universitas Indonesia.

Engelbrecth, A.P. (2007). Computational Intellegence: An Introduction. John Wiley & Sons, Ltd.

Ganchev T. (2009). Speaker recognition [disertasi]. Patras (GR): University of Patras.

M. Nilsson dan M. Ejnarsson. (2002). Speech Recognition using Hidden Markov Model: Performance Evaluation in Noisy Environment. Master Thesis, Departement of Telecommunications and Signal Processing, Blekinge Institute of Technology

Susanto, N. (2007). Pengembangan Model Jaringan Syaraf tiruan Resilient Backprpagation Untuk Identifikasi Pembicara Dengan Praproses MFCC [skripsi] Bogor: Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor, 2007.

Wisnudisastra E, Buono A. (2010). Pengenalan Chord pada Alat Musik Gitar Menggunakan CodeBook dengan Teknik Ekstraksi Ciri MFCC.Jurnal Ilmiah Ilmu Komputer, Vol 14 No. 1, Mei 2010 : 16 – 21.


Refbacks

  • There are currently no refbacks.