Relevancy of time-frequency features for phonetic classification measured by mutual information
Howard Hua Yang, Sonnika van Vuuren, Hynek Heřmanský · 1999
In this paper we use mutual information to study the distribution in time and frequency of information relevant for phonetic classification. A large database of hand-labeled fluent speech is used to (a) compute the mutual information between phoneme labels and a point of logarithmic energy in the time-frequency plane and (b) compute the joint mutual information between phoneme labels and two points of logarithmic energy in the time-frequency plane.