Search Results for author: Meng Cai

Found 7 papers, 1 papers with code

Building a digital twin of EDFA: a grey-box modeling approach

no code implementations13 Jul 2023 Yichen Liu, Xiaomin Liu, Yihao Zhang, Meng Cai, Mengfan Fu, Xueying Zhong, Lilin Yi, Weisheng Hu, Qunbi Zhuge

To enable intelligent and self-driving optical networks, high-accuracy physical layer models are required.

Improving End-to-End Contextual Speech Recognition with Fine-Grained Contextual Knowledge Selection

1 code implementation30 Jan 2022 Minglun Han, Linhao Dong, Zhenlin Liang, Meng Cai, Shiyu Zhou, Zejun Ma, Bo Xu

Nowadays, most methods in end-to-end contextual speech recognition bias the recognition process towards contextual knowledge.

speech-recognition Speech Recognition

Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask

no code implementations8 Oct 2021 Shaoshi Ling, Chen Shen, Meng Cai, Zejun Ma

In the recent trend of semi-supervised speech recognition, both self-supervised representation learning and pseudo-labeling have shown promising results.

Pseudo Label Representation Learning +2

A Data-Fusion-Assisted Telemetry Layer for Autonomous Optical Networks

no code implementations24 Nov 2020 Xiaomin Liu, Huazhi Lun, Ruoxuan Gao, Meng Cai, Lilin Yi, Weisheng Hu, Qunbi Zhuge

For further improving the capacity and reliability of optical networks, a closed-loop autonomous architecture is preferred.

Dynamic latency speech recognition with asynchronous revision

no code implementations3 Nov 2020 Mingkun Huang, Meng Cai, Jun Zhang, Yang Zhang, Yongbin You, Yi He, Zejun Ma

In this work we propose an inference technique, asynchronous revision, to unify streaming and non-streaming speech recognition models.

Decoder speech-recognition +1

Improving RNN transducer with normalized jointer network

no code implementations3 Nov 2020 Mingkun Huang, Jun Zhang, Meng Cai, Yang Zhang, Jiali Yao, Yongbin You, Yi He, Zejun Ma

In this work, we analyze the cause of the huge gradient variance in RNN-T training and proposed a new \textit{normalized jointer network} to overcome it.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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