bbruhh/ser_icsigsys2019

Repository of code for Speech emotion recognition using voiced speech and attention model, submitted to ICSigSys 2019

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.