Analysis and Classiication of Stress Categories from Drivers' Speech
نویسندگان
چکیده
In this paper we explore the use of features derived from multiresolution analysis of speech and the Teager Energy Operator for classiication of drivers' speech under stressed conditions. The potential stress categories are determined by driving speed and the frequency with which the driver has to solve a mental task while driving. We rst use an unsupervised approach to gain some understanding as to whether the discrete stress categories form meaningful clusters in feature space, and use the clustering results to build a user-dependent recognition system which combines local discriminants of 4 discreet stress categories. Recognition results are reported for 4 subjects.
منابع مشابه
Submitted to the ISCA Workshop on Speech and Emotions , Belfast , 2000 MODELING DRIVERS ' SPEECH UNDER STRESSRaul
In this paper we explore the use of features derived from multiresolution analysis of speech and the Teager Energy Operator for classiication of drivers' speech under stressed conditions. We apply this set of features to a database of short speech utterances to create user-dependent discriminants of four stress categories. In addition we address the problem of choosing a suitable temporal scale...
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