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An improved gaussian mixture hidden conditional random fields model for audio-based emotions classification
2020
Egyptian Informatics Journal
The analysis of human emotions plays a significant role in providing sufficient information about patients in monitoring their feelings for better management of their diseases. Audio-based emotions recognition has become a fascinating research interest for such domains during the last decade. Mostly, audio-based emotions systems depend on the recognition stage. The existing model has a common issue called objectivity suppositions problem, which might decrease the recognition rate. Therefore,
doi:10.1016/j.eij.2020.03.001
fatcat:z2stdh5ptng5jajgzxoh6qiwg4