Automatic Extraction of Fundamental Period of Speech by Auto-Correlation Analysis and Peak Detection
Hiroshi Fujisaki · The Journal of the Acoustical Society of America · 1960
A digital computer has been used to simulate schemes for automatic extraction of the fundamental period of speech by analysis of the waveform in the time domain. The basic principle is to apply 1-bit quantization to the signal samples followed by a short-time auto-correlation analysis with an averaging interval as short as one period of a low-pitched male voice. The peaks of the auto-correlation function corresponding to the period are then detected. In the determination of each period, reference is made to the immediately preceding decision, and several logical operations are introduced to reject minor peaks. Measures of accuracy and reliability for various types of utterances are presented and discussed. [This work was supported in part by the U. S. Army (Signal Corps), the U. S. Air Force (Office of Scientific Research, Air Research and Development Command), and the U. S. Navy (Office of Naval Research); and in part by the Air Force Cambridge Research Center.]