There were also couple of CMU Sphinx projects that were also accepted:

Training the acoustic model on long audio files

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.

Long Audio Alignment

The problem is to align a given approximate-transcription for an audio data corresponding to the audio file as well as improve the transcription at points of low confidence.

--- (Edited on 4/25/2011 10:58 pm [GMT-0400] by kmaclean) ---