Center of Intelligent Acoustics and Immersive Communications (CIAIC), NPU

Created in December 01, 2017

2017

Multimodal Emotion Recognition Using EEG and Speech Signals Xi’an, China

  • Studied speech signal processing and analytical methods, applying SVM, ELM, and GMM for discrete-speech emotion classification. Collected data for model training, validation, and testing.
  • Studied EEG theory, recorded and processed EPR statistics, conducted EEG experiments, and analyzed data using Curry 8/EEGLAB, applying PCA for feature dimensionality reduction.
  • Studied emotion recognition using EEG and speech signals, applied ANOVA for feature selection, and analyzed the impact of environmental deviation and sentiment on emotion classification.