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We introduce the problem of phone classification in the context of speechrecognition, and explore several sets of local spectro-temporal features thatcan be used for phone classification. In particular, we present somepreliminary results for phone classification using two sets of features thatare commonly used for object detection: Haar features and SVM-classifiedHistograms of Gradients (HoG).

Boosting Local Spectro-Temporal Features for Speech Analysis