Speech-Emotion-Recognizer

In this project, we attempt to detect underlying emotions such as (sad, happy, neutral, angry, disgust, surprised, fearful and calm) in recorded speech by analysing the acoustic features of the audio data of recordings and Create an application to implement the same on user input.

The Appllication is based on Kivy framework for python

Python libraries to be installed

librosa
soundfile
os
glob
pickle
numpy
sklearn
time
pyaudio
wave
kivy

To run this Application

Move to the directory
run

python main.py

Application GUI