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Least mean square measures of voice perturbation.

作者信息

Milenkovic P

机构信息

Department of Electrical and Computer Engineering, University of Wisconsin-Madison 53706.

出版信息

J Speech Hear Res. 1987 Dec;30(4):529-38. doi: 10.1044/jshr.3004.529.

DOI:10.1044/jshr.3004.529
PMID:2961933
Abstract

A signal processing technique is described for measuring the jitter, shimmer, and signal-to-noise ratio of sustained vowels. The measures are derived from the least mean square fit of a waveform model to the digitized speech waveform. The speech waveform is digitized at an 8.3 kHz sampling rate, and an interpolation technique is used to improve the temporal resolution of the model fit. The ability of these procedures to measure low levels of perturbation is evaluated both on synthetic speech waveforms and on the speech recorded from subjects with normal voice characteristics.

摘要

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