An open-set detection evaluation methodology for automatic emotion recognition in speech

An open-set detection evaluation methodology for automatic emotion recognition in speech

Truong, K.P.
van Leeuwen, D.A.
TNO Defensie en Veiligheid

2007

In this paper, we present a detection approach and an ‘open-set’ detection evaluation methodology for automatic emotion recognition in speech. The traditional classification approach does not seem to be suitable and flexible enough for typical emotion recognition tasks. For example, classification does not have an appropriate way to cope with ‘new’ emotions from outside the training database that can be encountered in real life situations. With the presented approach and evaluation method we aim to perform experiments that suit the task of an emotion detector and to obtain results that are better interpretable and generalizable to other datasets. This evaluation method takes into account the fact that ‘new’ emotions can be encountered by the emotion detectors that are not covered by the trained models. We also tested the trained emotion detectors on an independent emotion database. We report results that indicate that our ‘openset’ evaluation methodology indeed produces more representative and generizable results. Index Terms: emotion recognition, detection, evaluation

emotions
automatic speech recognition
speech

http://resolver.tudelft.nl/uuid:b691f49e-89a0-4e90-aa2d-f5303dbbca41

19218

Workshop on Paralinguistic Speech

conference paper