Alex Acero, Fil Alleva, Doug Beeferman, Xuedong Huang, Mei-Yuh Hwang, and Milind Mahajan
In this paper, we first review Sphinx-II, a large-vocabulary speaker-independent continuous speech recognition system developed at CMU. We summarize techniques that helped Sphinx-II achieve the state-of-the-art large-vocabulary continuous speech recognition performance. We then review Whisper, a system we developed here at Microsoft Research. We focus on recognition accuracy, efficiency and usability issues, which are critical to the success of commercial speech applications. Whisper has significantly improved Sphinx-II's performance in these three areas.
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