Real-time Emotion Detection System using Speech: Multi-modal Fusion of Different Timescale Features

@article{Kim2007RealtimeED,
  title={Real-time Emotion Detection System using Speech: Multi-modal Fusion of Different Timescale Features},
  author={Samuel Kim and Panayiotis G. Georgiou and Sungbok Lee and Shrikanth Narayanan},
  journal={2007 IEEE 9th Workshop on Multimedia Signal Processing},
  year={2007},
  pages={48-51}
}
The goal of this work is to build a real-time emotion detection system which utilizes multi-modal fusion of different timescale features of speech. Conventional spectral and prosody features are used for intra-frame and supra-frame features respectively, and a new information fusion algorithm which takes care of the characteristics of each machine learning algorithm is introduced. In this framework, the proposed system can be associated with additional features, such as lexical or discourse… CONTINUE READING
Highly Cited
This paper has 77 citations. REVIEW CITATIONS

6 Figures & Tables

Topics

Statistics

01020'07'08'09'10'11'12'13'14'15'16'17'18
Citations per Year

77 Citations

Semantic Scholar estimates that this publication has 77 citations based on the available data.

See our FAQ for additional information.