Simulation of the Measurement Phase of an Automatic Speaker Recognition System

This paper describes an investigation of an efficient approach to acoustic measurements (feature extraction) for speaker recognition motivated by known relations between acoustic output and vocal tract shapes and gestures. Rather than make general measurements over the extent of an utterance, only significant features of certain selected segments are used. In this study, these segments were located manually. A speaker identification experiment was performed, using seventeen measurements such as fundamental frequency and features of vowel and nasal consonant spectra. A computationally simple linear classification procedure was used, and the test data was kept independent of the design data. No errors were made in identification of the speaker for 210 test “utterances” by 21 adult male speakers. Procedures for evaluating speaker‐separating ability of individual measurements and intermeasurement dependence are described. [This research was supported in part by the National Science Foundation, Air Force Cambr...