Relevancy of time-frequency features for phonetic classification measured by mutual information
نویسندگان
چکیده
In this paper we use mutual information to study the distribution in time and frequency of information relevant for phonetic classi cation. A large database of hand-labeled uent 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.
منابع مشابه
Search for Information Bearing Components in Speech
In this paper, we use mutual information to characterize the distributions of phonetic and speaker/channel information in a timefrequency space. The mutual information (MI) between the phonetic label and one feature, and the joint mutual information (JMI) between the phonetic label and two or three features are estimated . The Miller's bias formulas for entropy and mutual information estimates ...
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