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This research was conducted to develop a method to identify voice utterance.For voice utterance that encounters change caused by aging factor, with theinterval of 10 to 25 years. The change of voice utterance influenced by agingfactor might be extracted by MFCC (Mel Frequency Cepstrum Coefficient).However, the level of the compatibility of the feature may be dropped down to55%. While the ones which do not encounter it may reach 95%. To improve thecompatibility of the changing voice feature influenced by aging factor, thenthe method of the more specific feature extraction is developed: which is byseparating the voice into several channels, suggested as MFCC multichannel,consisting of multichannel 5 filterbank (M5FB), multichannel 2 filterbank(M2FB) and multichannel 1 filterbank (M1FB). The result of the test shows thatfor model M5FB and M2FB have the highest score in the level of compatibilitywith 85% and 82% with 25 years interval. While model M5FB gets the highestscore of 86% for 10 years time interval.

Identification of Voice Utterance with Aging Factor Using the Method of MFCC Multichannel