Automatic Speech Emotion Recognition and Mind Status Classification Based on Deep Learning

Speaking to one another is most effectual & natural technique of communication amongst humans. Because of this, several scientists are investigating the possibility of using voice signals as a means of communication between computers and humans. What this implies is that the computer should be able to recognize human speech and voices. There has been a lot of progress in voice recognition, but scientists are still a long way from creating a realistic interaction between computers and humans. The purpose of emotion speech recognition is automatically identifying an individual's emotional state given the utterer's voice. Applications that need human-computer interaction, like speech synthesis & medical analysis, may greatly benefit from voice emotion detection. Validation of the suggested approaches in voice emotion recognition is performed utilising Ravdess speech database in this system. Next, the algorithm determines the individual's mental state based on the emotion detected in their speech. In addition, we present a deep learning- and voice-based methodology for identifying mental health issues.