Affect-Robust Speech Recognition by Dynamic Emotional Adaptation

  title={Affect-Robust Speech Recognition by Dynamic Emotional Adaptation},
  author={Bj{\"o}rn W. Schuller and Jan Stadermann and Gerhard Rigoll},
Automatic Speech Recognition fails to a certain extent when confronted with highly affective speech. In order to cope with this problem we suggest dynamic adaptation to the actual user emotion. The ASR framework is built by a hybrid ANN/HMM mono-phone 5k bi-gram LM recognizer. Based hereon we show adaptation to the affective speaking style. Speech emotion recognition takes place prior to the actual recognition task to choose appropriate models. We therefore focus on fast emotion recognition… CONTINUE READING