Speech emotion recognition with deep convolutional neural networks

• Published in: Biomedical signal processing and control Vol. 59; p. 101894
• Main Authors: Issa, Dias, Fatih Demirci, M., Yazici, Adnan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2020
• Subjects: Deep learning; Signal processing; Speech emotion recognition; Deep learning; Signal processing; Speech emotion recognition

•Sound files are represented effectively by combining various features.•The framework sets the new SOTA on two datasets for speech emotion recognition.•For the third dataset (EMO-DB), the framework obtains the second highest accuracy.•The advantages of the framework are its simplicity, applicability...