TY - GEN
T1 - A problem in data variability on speaker identification system using hidden markov model
AU - Buono, Agus
AU - Putro, Benyamin Kusumo
PY - 2008
Y1 - 2008
N2 - The paper addresses a problem on speaker identification system using Hidden Markov Model (HMM) caused by the training data selected far from its distribution centre. Four scenarios for unguided data have been conducted to partition the data into training data and testing data. The data were recorded from ten speakers. Each speaker uttered 80 times with the same physical (health) condition. The data collected then pre-processed using Mel-Frequence Cepstrum Coefficients (MFCC) feature extraction method. The four scenarios are based on the distance of each speech to its distribution centre, which is computed using Self Organizing Map (SOM) algorithm. HMM with many number of states (from 3 up to 7) showed that speaker with multi-modals distribution will drop the system accuracy up to 9% from its highest recognition rate, i.e. 100%.
AB - The paper addresses a problem on speaker identification system using Hidden Markov Model (HMM) caused by the training data selected far from its distribution centre. Four scenarios for unguided data have been conducted to partition the data into training data and testing data. The data were recorded from ten speakers. Each speaker uttered 80 times with the same physical (health) condition. The data collected then pre-processed using Mel-Frequence Cepstrum Coefficients (MFCC) feature extraction method. The four scenarios are based on the distance of each speech to its distribution centre, which is computed using Self Organizing Map (SOM) algorithm. HMM with many number of states (from 3 up to 7) showed that speaker with multi-modals distribution will drop the system accuracy up to 9% from its highest recognition rate, i.e. 100%.
KW - Hidden markov model
KW - Mel-frequence cepstrum coefficients
KW - Self organizing map
UR - http://www.scopus.com/inward/record.url?scp=62849087285&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:62849087285
SN - 9780889867093
T3 - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2008
SP - 29
EP - 33
BT - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2008
T2 - IASTED International Conference on Artificial Intelligence and Applications, AIA 2008
Y2 - 13 February 2008 through 15 February 2008
ER -