An empirical comparison of the t3, juicer, HDecode and sphinx3 decoders
Josef R. Novak, Paul R. Dixon, Sadaoki Furui · 2010
In this paper we perform a cross-comparison of the T 3 WFST decoder against three different speech recognition decoders on three separate tasks of variable difficulty. We show that the T 3 decoder performs favorably against several established veterans in the field, including the Juicer WFST decoder, Sphinx3, and HDecode in terms of RTF versus Word Accuracy. In addition to comparing decoder performance, we evaluate both Sphinx and HTK acoustic models on a common footing inside T 3 , and show that the speed benefits that typically accompany the WFST approach increase with the size of the vocabulary and other input knowledge sources. In the case of T 3 , we also show