Analysis of the Energy Distribution in Speech¹

Abstract

SYNOPSIS:The frequency distribution of energy ill speech has been determined for six speakers, four men and two women, for a SO-syllable sentence of connected speech, and also for a list of 50 disconnected syllables. The speech was received by a condenser transmitter whose voltage output, amplified 3,000 fold, was impressed on the grids of twin single stage amplifiers. The unmodified output of one of these amplifiers was measured by a thermocouple and was a known function of the total energy received by the transmitter, corrections being made for the slight variation with frequency of the response of the circuit. The output of the other amplifier was limited by a series resonant circuit to a narrow band of frequencies, the energy in this band heing measured by a second thermocouple. The damping of the resonant circuit was so chosen that sufficient resolving power and sufficient energy, sensitiveness were obtained over the range from 15 to 5,000 cycles per second; and 23 frequency settings were made to cover this range. For each svllable simultaneous readings were recorded on the two thermocouples at each frequency setting. The consecutive syllables were pronounced deliberately by each speaker, maintaining as nearly as possible the normal modulation of the voice. Corrections were applied to offset the unavoidable variations in total energy incidental to repetition of a given syllable. 13,800 observations were made for all speakers. Tile l'Ilergy distribution curves obtained are essentially the same for connected as for disconnected speech, and indicate that differences between individuals are more important

In‐Sensor Passive Speech Classification with Phononic Metamaterials

“…For such tasks, phononic computing is an excellent candidate. While phononic signal processing is significantly slower than electric circuits, a large class of highly relevant signals (e.g., speech commands, [20] bioacoustic signals, [21] gas concentrations, [22] or intraocular pressure [23] ) naturally occur at lower frequencies, and for these in-sensor batterypowered applications, high energetic efficiency is of utmost importance.…”