477 citations · 1.7k across the 21 of their papers we have counts for
5 papers · 1 filter
Achieving Human Parity in Conversational Speech Recognition
W. Xiong, J. Droppo, X. Huang +5
Conversational speech recognition has served as a flagship speech recognition task since the release of the Switchboard corpus in the 1990s. In this paper, we measure the human err…
Advances in All-Neural Speech Recognition
G. Zweig, C. Yu, J. Droppo +1
This paper advances the design of CTC-based all-neural (or end-to-end) speech recognizers. We propose a novel symbol inventory, and a novel iterated-CTC method in which a second sy…
The Microsoft 2016 Conversational Speech Recognition System
W. Xiong, J. Droppo, X. Huang +5
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 stat…
An Attentional Neural Conversation Model with Improved Specificity
Kaisheng Yao, Baolin Peng, Geoffrey Zweig +1
In this paper we propose a neural conversation model for conducting dialogues. We demonstrate the use of this model to generate help desk responses, where users are asking question…
End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning
Jason D. Williams, Geoffrey Zweig
This paper presents a model for end-to-end learning of task-oriented dialog systems. The main component of the model is a recurrent neural network (an LSTM), which maps from raw di…