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Theme identification in telephone service conversations using quaternions of speech features
The paper introduces new features for describing possible focus variation in a human/human conversation. The application considered is a real-life telephone customer care service. The purpose is to hypothesize the dominant theme of conversations between a casual customer calling. Conversations are processed by an automatic speech recognition system that provides hypotheses used for extracting word frequency. Features are extracted in different, broadly defined and partially overlapped, timedoi:10.21437/interspeech.2013-366 fatcat:6keqpugr3nf6lf33d6wdpxnchi