92 citations · 523 across the 22 of their papers we have counts for
5 papers · 1 filter
Speaker Diarization With Lexical Information
Tae Jin Park, Kyu Han, Ian Lane +1
This work presents a novel approach to leverage lexical information for speaker diarization. We introduce a speaker diarization system that can directly integrate lexical as well a…
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
Ming Zeng, Haoxiang Gao, Tong Yu +4
Deep neural networks, including recurrent networks, have been successfully applied to human activity recognition. Unfortunately, the final representation learned by recurrent netwo…
Adversarial Learning of Task-Oriented Neural Dialog Models
Bing Liu, Ian Lane
In this work, we propose an adversarial learning method for reward estimation in reinforcement learning (RL) based task-oriented dialog models. Most of the current RL based task-or…
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition
Ming Zeng, Tong Yu, Xiao Wang +3
Labeled data used for training activity recognition classifiers are usually limited in terms of size and diversity. Thus, the learned model may not generalize well when used in rea…
The CAPIO 2017 Conversational Speech Recognition System
Kyu J. Han, Akshay Chandrashekaran, Jungsuk Kim +1
In this paper we show how we have achieved the state-of-the-art performance on the industry-standard NIST 2000 Hub5 English evaluation set. We explore densely connected LSTMs, insp…