The 2010 CMU GALE Speech-to-Text System

Florian Metze, Roger Hsiao, Qin Jin, Udhyakumar Nallasamy, Tanja Schultz
2018
This paper describes the latest Speech-to-Text system developed for the Global Autonomous Language Exploitation ("GALE") domain by Carnegie Mellon University (CMU). This systems uses discriminative training, bottle-neck features and other techniques that were not used in previous versions of our system, and is trained on 1150 hours of data from a variety of Arabic speech sources. In this paper, we show how different lexica, pre-processing, and system combination techniques can be used to
more » ... n be used to improve the final output, and provide analysis of the improvements achieved by the individual techniques.
doi:10.1184/r1/6473732.v1 fatcat:iqqnhfojnrfybfxrfcs5brn4om