Statistical Speaker Identification Based on Spectrogram Imaging

Abstract: The paper addresses the problem of speaker identification based on spectrograms in the text dependent case. Using spectrogram segmentation, this paper, mainly, focusses on understanding the complex patterns in frequency and amplitude in an utterance of a given word by an individual. The features used for identifying a speaker based on an observed variable extracted from the spectrograms, rely on the distinct speaker effect, his/her interaction effect with the particular word and with the frequency bands of the spectrogram. Performance of this novel approach on spectrogram samples, collected from 40 speakers, show that this methodology can be effectively used to produce a very high success rate in a closed set of speakers for text-dependent speaker identification. AMS (2000) Subject Classification: 62P99.