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20212023
most citedUltra Dual-Path Compression For Joint Echo Cancellation And Noise Suppression

5 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Bayes Risk Transducer: Transducer with Controllable Alignment Prediction

Jinchuan Tian, Jianwei Yu, Hangting Chen +4

Automatic speech recognition (ASR) based on transducers is widely used. In training, a transducer maximizes the summed posteriors of all paths. The path with the highest posterior…

eess.AS20235 cited

Ultra Dual-Path Compression For Joint Echo Cancellation And Noise Suppression

Hangting Chen, Jianwei Yu, Yi Luo +4

Echo cancellation and noise reduction are essential for full-duplex communication, yet most existing neural networks have high computational costs and are inflexible in tuning mode…

eess.AS2022

FRA-RIR: Fast Random Approximation of the Image-source Method

Yi Luo, Jianwei Yu

The training of modern speech processing systems often requires a large amount of simulated room impulse response (RIR) data in order to allow the systems to generalize well in rea…

eess.AS20221 cited

Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks

Shoukang Hu, Xurong Xie, Mingyu Cui +6

State-of-the-art automatic speech recognition (ASR) system development is data and computation intensive. The optimal design of deep neural networks (DNNs) for these systems often…

cs.AI20212 cited

Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMI

Jinchuan Tian, Jianwei Yu, Chao Weng +4

Recently, End-to-End (E2E) frameworks have achieved remarkable results on various Automatic Speech Recognition (ASR) tasks. However, Lattice-Free Maximum Mutual Information (LF-MMI…