Download Project Document/Synopsis
While having a face-to-face conversation with another person, it is often possible to gauge their emotions through cues such as their expressions, body language etc. However, while having a telephonic conversation, it becomes very difficult to get a sense of the emotional state of an individual.
Following the Covid 19 Pandemic, a lot of us were confined to our homes. In such trying times, it is essential to keep tabs on the mental health and well-being of your family, friends, co-workers, etc. This Speech Emotion Detection project has been designed to help with detecting the emotions of a person based on their voice.
Users can either upload a pre-recorded audio file or record a new file and analyze it. This project has been developed using the Django Framework with Python as the programming language.
Considering the anomalies in the existing system computerization of the whole activity is being suggested after the initial analysis. The web application is developed using Django Framework with Python as a programming language. The proposed system is accessed by one entity named, the user.
Users need to log in with their valid login credentials first. After successfully logging in, the user can access all the modules and perform/manage each task accurately. The user can perform tasks such as uploading an audio file, recording an Audio, and analyzing the emotions in the audio.
The front-end involves Html, CSS, and JavaScript and the back-end involves Python. The framework used is Django and the database is MySQL.
Advantages
- It is user-friendly.
- The system can recognize human emotions from speech, audio or recordings.
- It can help to resolve many problems by understanding emotions.