Speaker identification using harmonic structure of LP-residual spectrum

Abstract

The harmonic structure of LP-residual spectrum is different in speakers. Therefore the harmonic structure may be useful for speaker recognition. In order to prove this hypothesis, Power Difference of Spectra in Subband (PDSS) is proposed as a new feature parameter to extract information of the harmonic structure of the linear prediction residual spectrum. VQ-based text-independent speaker identification experiments for 25 male and 25 female speakers are conducted to investigate the speaker identification ability of PDSS. Experimental results show that PDSS alone provides 66.9% maximal identification. In addition, it was found that the LPC cepstrum combined with PDSS results in a 41.2% reduction in identification errors compared with using only the LPC cepstrum. Moreover, a 52.4% reduction of identification errors over using only LPC cepstrum is attained by combining the LPC cepstrum with both delta cepstrum and PDSS. It is shown that PDSS can compensate for the LPC cepstrum and delta cepstrum for improving speaker identification performance.