Title

IEEE FEMH Voice Data Challenge 2018

Publication Date

1-22-2019

Document Type

Conference Proceeding

Department

Computer Engineering

Publication Title

Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

DOI

10.1109/BigData.2018.8622164

First Page

5272

Last Page

5276

Abstract

The report summarizes the various techniques and feature engineering processes that we have applied for the Far Eastern Memorial Hospital (FEMH) Voice Data Challenge. We have used Mel scaled spectrograms and MFCC components as audio features to train various Neural Network Architectures. We have trained a 5-layer plain network, 5-layer CNN and RNN. We discuss the challenges faced and solutions to improve model performance, model parameter tuning and model evaluation.

Keywords

CNN, FEMH, Mel Frequency Spectrum, MFCC, Neural Networks, RNN, Voice Data

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