ISCA Archive - The use of coherence coefficient to parameters statistical dependence evaluation in acoustic anylysis (original) (raw)

The use of coherence coefficient to parameters statistical dependence evaluation in acoustic anylysis

J. Psutka, E. Chan

Frequently at acoustic analysis in the systems of speech recognition the designer has to solve the problem of suitable feature parameters choice. Owing to consequent computer processing, the measurement of a small number of parameters with large information content is required. The shortcoming of the system in this sense is a mutual statistical dependence of measured parameters that often occurs. The paper describes a method of mutual statistical dependence evaluation by means of coherence coefficient. At the coefficient estimation the Parzen weights have been used. Some results of the method employed are presented.