no code implementations • 21 Aug 2017 • W. Xiong, L. Wu, F. Alleva, J. Droppo, X. Huang, A. Stolcke
We describe the 2017 version of Microsoft's conversational speech recognition system, in which we update our 2016 system with recent developments in neural-network-based acoustic and language modeling to further advance the state of the art on the Switchboard speech recognition task.
no code implementations • 17 Oct 2016 • W. Xiong, J. Droppo, X. Huang, F. Seide, M. Seltzer, A. Stolcke, D. Yu, G. Zweig
Conversational speech recognition has served as a flagship speech recognition task since the release of the Switchboard corpus in the 1990s.
Ranked #4 on Speech Recognition on Switchboard + Hub500
no code implementations • 19 Sep 2016 • G. Zweig, C. Yu, J. Droppo, A. Stolcke
This paper advances the design of CTC-based all-neural (or end-to-end) speech recognizers.
no code implementations • 12 Sep 2016 • W. Xiong, J. Droppo, X. Huang, F. Seide, M. Seltzer, A. Stolcke, D. Yu, G. Zweig
We describe Microsoft's conversational speech recognition system, in which we combine recent developments in neural-network-based acoustic and language modeling to advance the state of the art on the Switchboard recognition task.
Ranked #4 on Speech Recognition on swb_hub_500 WER fullSWBCH