IEEE FEMH Voice Data Challenge 2018
Publication Date
1-22-2019
Document Type
Conference Proceeding
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
Department
Computer Engineering
Recommended Citation
Archana Ramalingam, Sharat Kedari, and Chandrasekar Vuppalapati. "IEEE FEMH Voice Data Challenge 2018" Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 (2019): 5272-5276. https://doi.org/10.1109/BigData.2018.8622164
