Emotion recognition and adaptation in spoken dialogue systems

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• 作者：Johannes Pittermann ; Angela Pittermann and Wolfgang Minker
• 关键词：Adaptive dialogue management ; Combined speech and emotion recognition ; Evaluation ; Feature extraction ; ROVER
• 刊名：International Journal of Speech Technology
• 出版年：2010
• 出版时间：March, 2010
• 年：2010
• 卷：13
• 期：1
• 页码：49-60
• 全文大小：800.2 KB

文摘

The involvement of emotional states in intelligent spoken human-computer interfaces has evolved to a recent field of research. In this article we describe the enhancements and optimizations of a speech-based emotion recognizer jointly operating with automatic speech recognition. We argue that the knowledge about the textual content of an utterance can improve the recognition of the emotional content. Having outlined the experimental setup we present results and demonstrate the capability of a post-processing algorithm combining multiple speech-emotion recognizers. For the dialogue management we propose a stochastic approach comprising a dialogue model and an emotional model interfering with each other in a combined dialogue-emotion model. These models are trained from dialogue corpora and being assigned different weighting factors they determine the course of the dialogue.