Impact of Pitch Frequency on Speaker Identification

Abstract

In this paper, the impact of pitch frequency on speaker identification using Gaussian mixture model has been investigated employing clean speech (TIMIT) and telephone speech (NTIMIT) databases. Pitch frequency, as directly related to human vocal tract, may also be used as a speaker discriminating feature in noisy environments, such as telephone lines. Although the performance of pitch frequency alone is poor on telephone speech, it provides %8.34 enhancement in identification performance when used in combination with mel-frequency cepstral coefficients (mfee).