Training the acoustic model on long audio files

by Michal Krajňanský for CMUSphinx Speech Recognition Toolkit

Optimalisation of SphinxTrain by the utilization of massively parallel hardware - NVIDIA CUDA framework: Enable the acoustic model training on long audio files by the utilization of NVIDIA CUDA architecture. Incorporate the technique to reduce the memory requirements of Baum-Welch algorithm. Modify SphinxTrain to be able to process long input audio files.