Selective use of the speech spectrum and a VQGMM method for speaker identification

The paper describes two separate sets of speaker identification experiments. In the first set of experiments, the speech spectrum is selectively used for speaker identification. The results show that the higher portion of the speech spectrum contains more reliable idiosyncratic information on speakers than does the lower portion of equal bandwidth. In the second set of experiments, vector-quantization based Gaussian mixture models (VQGMMs) are developed for text-independent speaker identification. The system has been evaluated in the recent speaker identification evaluation organized by NIST. Details of the system design are given and the evaluation results are presented.