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Emotion Recognition Research

Central South University

Research Assistant in Prof. Zhenlao-Liu's Lab

Time: Mar.2014 - Sept.2015

Our whole research divided to two parts: speech team and facial team. I was participated speech team.

  • We used CASIA Chinese emotion corpus recorded by the Institute of Automation, Chinese Academy of Sciences

  • Extracted speech emotion features using Praat and Matlab

  • Input features into the correlation analysis which is used to gain the lowest redundancy features that selected by Fisher criterion

  • Got recognition rate based on SVM, which is about 2% higher compared to the ones without correlation analysis

The left column contains speech emotion features without correlation analysis. The right column contains speech emotion features after correlation analysis selection.


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