INTERSPEECH 2013
14thAnnual Conference of the International Speech Communication Association

Lyon, France
August 25-29, 2013

Theme Identification in Telephone Service Conversations Using Quaternions of Speech Features

Mohamed Morchid, Georges Linarès, Marc El-Beze, Renato De Mori

LIA, France

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, time segments. Combinations of each feature in different segments are represented in a quaternion algebra framework. The advantage of the proposed approach is made evident by the statistically significant improvements in theme classification accuracy.

Full Paper

Bibliographic reference.  Morchid, Mohamed / Linarès, Georges / El-Beze, Marc / Mori, Renato De (2013): "Theme identification in telephone service conversations using quaternions of speech features", In INTERSPEECH-2013, 1394-1398.