Speech emotion recognition using voiced speech and BLSTM with attention model

This repository contains code for the following paper: "Speech emotion recognition based on voiced speech using LSTM with attention model", prepared to be submitted on ICSygSys 2019. The main code (jupyter-noteboook) is ICSigSys4.ipynb. Other codes are borrowed from other repositories (see on each directory).

Step to reproduce the result:

• Download IEMOCAP data
• Run mocap_collect_data.py (copyed from tripathi's repo)
• Run save_feature.py (change what you need)
• Run SER_ICSigSys2019/code/python_files/ICSigSys4.ipynb

Besides notebook, .py python files are provided.

Requirement

The python used is version 3.6 with latest modules for each packages (at the time of writing (July 2019)).