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20212026
most citedPolySpeech: Exploring Unified Multitask Speech Models for Competitiveness with Single-task Models

1 citations · 2 across the 12 of their papers we have counts for

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eess.AS2022

Meta Auxiliary Learning for Low-resource Spoken Language Understanding

Yingying Gao, Junlan Feng, Chao Deng +1

Spoken language understanding (SLU) treats automatic speech recognition (ASR) and natural language understanding (NLU) as a unified task and usually suffers from data scarcity. We…

eess.AS2022

A CTC Triggered Siamese Network with Spatial-Temporal Dropout for Speech Recognition

Yingying Gao, Junlan Feng, Tianrui Wang +2

Siamese networks have shown effective results in unsupervised visual representation learning. These models are designed to learn an invariant representation of two augmentations fo…

eess.AS2022

Multiple Confidence Gates For Joint Training Of SE And ASR

Tianrui Wang, Weibin Zhu, Yingying Gao +2

Joint training of speech enhancement model (SE) and speech recognition model (ASR) is a common solution for robust ASR in noisy environments. SE focuses on improving the auditory q…

eess.AS2022

Harmonic gated compensation network plus for ICASSP 2022 DNS CHALLENGE

Tianrui Wang, Weibin Zhu, Yingying Gao +3

The harmonic structure of speech is resistant to noise, but the harmonics may still be partially masked by noise. Therefore, we previously proposed a harmonic gated compensation ne…

eess.AS2022

HGCN: Harmonic gated compensation network for speech enhancement

Tianrui Wang, Weibin Zhu, Yingying Gao +2

Mask processing in the time-frequency (T-F) domain through the neural network has been one of the mainstreams for single-channel speech enhancement. However, it is hard for most mo…