Ulrich Tschaffon

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Anger detection in speech-based automated telephone applications is a growing field of research. In this work we report on inter-labeler agreement in a “real-life” anger detection task for Interactive Voice Response (IVR) systems. The presented study is based on a corpus of 1.911 calls containing 22.711 utterances and describes(More)
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