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CNN-RF Model for Speech Emotion Recognition by Woo Yong Choi is a document available to read on EtoBox.

What is CNN-RF Model for Speech Emotion Recognition about?

The document proposes a new speech emotion recognition model called CNN-RF that combines a convolutional neural network (CNN) and random forest (RF). First, a CNN is used to extract speech emotion features from normalized spectrograms of speech samples. Then, a random forest classifier classifies the features extracted by the CNN. The CNN-RF model achieves better performance than a traditional CNN-only model. The authors also apply the CNN-RF model to a Nao robot to enable it to recognize human emotions thr

Author

Woo Yong Choi

Language

EN