2 papers
eess.AS2018
Recognizing Overlapped Speech in Meetings: A Multichannel Separation Approach Using Neural Networks
Takuya Yoshioka, Hakan Erdogan, Zhuo Chen +2
The goal of this work is to develop a meeting transcription system that can recognize speech even when utterances of different speakers are overlapped. While speech overlaps have b…
cs.CL2017
The Microsoft 2017 Conversational Speech Recognition System
W. Xiong, L. Wu, F. Alleva +3
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 a…