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Acoustic and Physiological Feature Analysis of Affective Speech

  • Dandan Cui
  • Lianhong Cai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

The paper presents our recent work on the acoustic and physiological feature analysis of affective speech. An affective speech corpus is first built up. It contains passages read in neutral state and ten typical emotional states selected in Pleasure Arousal Dominance (PAD) space. Physiological data, including electrocardiogram, respiration, electro dermal data, and finger pulse, are also collected synchronized with speech. Then, based on the corpus, the relationship between emotional categories\dimensions and acoustic\physiological features is analyzed in three methods: average, correlation and co-clustering. The analysis results show that most acoustic features and physiological features are significantly correlated with the arousal dimension, whereas respiration features are more correlated with the pleasure dimension.

Keywords

Acoustic Feature Emotional Category Heart Period Prosodic Feature Affective Computing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dandan Cui
    • 1
  • Lianhong Cai
    • 1
  1. 1.Key Laboratory of Pervasive Computing (Tsinghua University), Ministry of Education, Beijing 100084China

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