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Regular version of the site

Article

Method for Measuring the Intelligibility of Speech Signals in the Kullback–Leibler Information Metric

Measurement Techniques. 2019. Vol. 62. No. 9. P. 832-839.

We consider the problem of determination of the intelligibility of speech of a speaker according to a fi nite
fragment of the speech signal. It is shown that the main diffi culties in the solution of this problem are
connected with the necessity of analysis of small samples. To overcome the problem of small samples, we
proposed a new high-speed method for measuring the intelligibility of speech signals on the sonic level of
its perception. The proposed method is based on the information indicator of speech intelligibility in the
Kullback–Leibler metric. We consider an example of practical realization of the new method with the use
of a self-regression model of minimum sound units from the speech fl ow of a speaker. The characteristics
of effi ciency of the new method are analyzed. It is shown that, under certain conditions, the application
of the information indicator enables us to realize the general systems principle of guaranteed result. On
the basis of the software developed by the authors, we designed and performed full-scale experiments
and established quantitative estimates for the speed of this method. It is shown that, with the help of this
method, quite accurate and reliable estimates of the information indicator are obtained for short (2–3 min)
segments of speech signals. The accumulated results and the conclusions made on their basis are intended
for applications in the development of new systems and improvement of the existing systems of automatic
speech processing and recognition intended for the operation in the real-time mode.