Speech Emotion Recognition Using Deep Learning Techniques: A Review
University of Engineering and Technology Peshawar · Ollscoil na Gaillimhe – University of Galway · +2 more institutions
Abstract
Emotion recognition from speech signals is an important but challenging component of Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER), many techniques have been utilized to extract emotions from signals, including many well-established speech analysis and classification techniques. Deep Learning techniques have been recently proposed as an alternative to traditional techniques in SER. This paper presents an overview of Deep Learning techniques and discusses some recent literature where these methods are utilized for speech-based emotion recognition. The review covers databases used, emotions extracted, contributions made toward speech emotion recognition and limitations…
Citation impact
- FWCI
- 42.57
- Percentile
- 100%
- References
- 157
Authors
6- RARuhul Amin KhalilCorresponding
University of Engineering and Technology Peshawar
- EJEdward Jones
Ollscoil na Gaillimhe – University of Galway
- MIMohammad Inayatullah Babar
University of Engineering and Technology Peshawar
- TJTariqullah Jan
University of Engineering and Technology Peshawar
- MHMohammad Haseeb Zafar
King Abdulaziz University
Topics & keywords
- Computer science
- Emotion recognition
- Speech recognition
- Deep learning
- Emotion classification
- Artificial intelligence
- Speech processing
- Affective computing
- Quality Education