IEEE FEMH Voice Data Challenge 2018
Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018
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.
CNN, FEMH, Mel Frequency Spectrum, MFCC, Neural Networks, RNN, Voice Data
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