SpeechEmoRec

Introduction

This project aims to implement speech emotion recognition strategy proposed in Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching

Runtime enviorment

CPU Host :

• ubuntu16.04
• python3.5
• tensorflow1.7.0

GPU Server :

• tensorflow-gpu1.7.0
• NVIDIA driver version:390
• cuda9.0
• cudnn7.0

Instructions

Preprocessing Data

1. Update path of dataset which you want to save from path.py
2. Downloading Berlin Database of Emotional Speech!
   1. Berlin Dataset
      $ python load_emodb.py
   2. eNTERFACE Dataset
      Downloading the eNTERFACE05 Dataset and update the dataset root

3. Starting preprocessing

   $ python melSpec.py

Feature Extracting

Finetune AlexNet with Tensorflow

$ python finetune.py

Discriminant Temporal Pyramid Matching

$ python dtpm.py -s  
$ python dtpm.py -n

Classfier

Support Vector Machine

$ python svm.py

Refrences:

Refrence Model:

• Alexnet
• SVM

Refrence Papers:

• ImageNet Classification with Deep Convolutional Neural Networks
• Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching
• Geometric ℓp-norm feature pooling for image classification