A HYBRID APPROACH IN ACHIEVING ACCURACY AND ROBUSTNESS FOR BIMODAL EMOTION DETECTION THROUGH SPEECH AND FACIAL EXPRESSIONS

Improper synchronisation, data correlation, and relationship between human emotions
are common issues in emotion detection via facial expressions in speech processing.
These issues are more critical in real-world environment due to different intensity of
emotions issue, image resolution, random additive noise, and data masking factors.
Moreover, emotion detection, through speech and facial expressions by conventional
techniques seem to hamper emotion detection accuracy and robustness in the realworld
environment.