Abstract / truncated to 115 words (read the full abstract)

The subject of this PhD thesis is the efficient and robust processing and analysis of the audio recordings that are derived from a call center. The thesis is comprised of two parts. The first part is dedicated to dialogue/non-dialogue detection and to speaker segmentation. The systems that are developed are prerequisite for detecting (i) the audio segments that actually contain a dialogue between the system and the call center customer and (ii) the change points between the system and the customer. This way the volume of the audio recordings that need to be processed is significantly reduced, while the system is automated. To detect the presence of a dialogue several systems are developed. This is ... toggle 5 keywords

speech processing emotion recognition speaker segmentation dialogue detection machine learning

Information

Author
Kotti, Margarita
Institution
Aristotle University of Thessaloniki
Supervisor
Publication Year
2009
Upload Date
April 3, 2011

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