"# Speech-emotion-recognition-model" This is the project, I have did during my 3 months internship at Zidio development.

This project includes basic steps of Data Science lifecycle -- 1> Data collection 2> Data loading 3> Data cleaning 4> Data visualization 5> Data transformation 6> Data modeling 7> Performance measurement

There are two main things are there in the code : 1> 'mfcc' function -- This function helps to extract the information. 2> LSTM Neural network -- This model uses a LSTM(Long Short-Term Memory), which is going to do all calculations.