11 citations · 11 across the 1 of their papers we have counts for
6 papers
Data Augmentation For Children's Speech Recognition -- The "Ethiopian" System For The SLT 2021 Children Speech Recognition Challenge
Guoguo Chen, Xingyu Na, Yongqing Wang +4
This paper presents the "Ethiopian" system for the SLT 2021 Children Speech Recognition Challenge. Various data processing and augmentation techniques are proposed to tackle childr…
End-to-end Models with auditory attention in Multi-channel Keyword Spotting
Haitong Zhang, Junbo Zhang, Yujun Wang
In this paper, we propose an attention-based end-to-end model for multi-channel keyword spotting (KWS), which is trained to optimize the KWS result directly. As a result, our model…
Sequence-to-sequence Models for Small-Footprint Keyword Spotting
Haitong Zhang, Junbo Zhang, Yujun Wang
In this paper, we propose a sequence-to-sequence model for keyword spotting (KWS). Compared with other end-to-end architectures for KWS, our model simplifies the pipelines of produ…
Attention-based End-to-End Models for Small-Footprint Keyword Spotting
Changhao Shan, Junbo Zhang, Yujun Wang +1
In this paper, we propose an attention-based end-to-end neural approach for small-footprint keyword spotting (KWS), which aims to simplify the pipelines of building a production-qu…
Empirical Evaluation of Speaker Adaptation on DNN based Acoustic Model
Ke Wang, Junbo Zhang, Yujun Wang +1
Speaker adaptation aims to estimate a speaker specific acoustic model from a speaker independent one to minimize the mismatch between the training and testing conditions arisen fro…
Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition
Ke Wang, Junbo Zhang, Sining Sun +3
We investigate the use of generative adversarial networks (GANs) in speech dereverberation for robust speech recognition. GANs have been recently studied for speech enhancement to…