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Künstliche Intelligenz 25(3) - August 2011

https://dl.gi.de/handle/20.500.12116/11105
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Auflistung Künstliche Intelligenz 25(3) - August 2011 nach Autor:in "André, Elisabeth"

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  • Zeitschriftenartikel
    An Evaluation of Emotion Units and Feature Types for Real-Time Speech Emotion Recognition
    (KI - Künstliche Intelligenz: Vol. 25, No. 3, 2011) Vogt, Thurid; André, Elisabeth
    Emotion recognition from speech in real-time is an upcoming research topic and the consideration of real-time constraints concerns all aspects of the recognition system. We present here a comparison of units and feature types for speech emotion recognition. To our knowledge, a comprehensive comparison of many different units on several databases is still missing in the literature and we also discuss units with special emphasis on real-time processing, that is, we do not only consider accuracy but also speed and ease of calculation. For the feature types, we also use only features that can be extracted fully automatically in real-time and look at which types best characterise which emotion classes. Gained insights are used as validation of methodology for our online speech emotion recognition system EmoVoice.
  • Zeitschriftenartikel
    Social Signal Interpretation (SSI)
    (KI - Künstliche Intelligenz: Vol. 25, No. 3, 2011) Wagner, Johannes; Lingenfelser, Florian; Bee, Nikolaus; André, Elisabeth
    The development of anticipatory user interfaces is a key issue in human-centred computing. Building systems that allow humans to communicate with a machine in the same natural and intuitive way as they would with each other requires detection and interpretation of the user’s affective and social signals. These are expressed in various and often complementary ways, including gestures, speech, mimics etc. Implementing fast and robust recognition engines is not only a necessary, but also challenging task. In this article, we introduce our Social Signal Interpretation (SSI) tool, a framework dedicated to support the development of such online recognition systems. The paper at hand discusses the processing of four modalities, namely audio, video, gesture and biosignals, with focus on affect recognition, and explains various approaches to fuse the extracted information to a final decision.