activity
20182021
most citedMulti-head Monotonic Chunkwise Attention For Online Speech Recognition

13 citations · 15 across the 2 of their papers we have counts for

collaborators

5 papers

eess.AS20212 cited

Tiny Transducer: A Highly-efficient Speech Recognition Model on Edge Devices

Yuekai Zhang, Sining Sun, Long Ma

This paper proposes an extremely lightweight phone-based transducer model with a tiny decoding graph on edge devices. First, a phone synchronous decoding (PSD) algorithm based on b…

cs.CL202013 cited

Multi-head Monotonic Chunkwise Attention For Online Speech Recognition

Baiji Liu, Songjun Cao, Sining Sun +2

The attention mechanism of the Listen, Attend and Spell (LAS) model requires the whole input sequence to calculate the attention context and thus is not suitable for online speech…

cs.CL2018

Training Augmentation with Adversarial Examples for Robust Speech Recognition

Sining Sun, Ching-Feng Yeh, Mari Ostendorf +2

This paper explores the use of adversarial examples in training speech recognition systems to increase robustness of deep neural network acoustic models. During training, the fast…

cs.CL2018

Domain Adversarial Training for Accented Speech Recognition

Sining Sun, Ching-Feng Yeh, Mei-Yuh Hwang +2

In this paper, we propose a domain adversarial training (DAT) algorithm to alleviate the accented speech recognition problem. In order to reduce the mismatch between labeled source…

cs.SD2018

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…