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20202024
most citedDepthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-footprint Keyword Spotting

44 citations · 104 across the 9 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.SD2021

Conformer-based End-to-end Speech Recognition With Rotary Position Embedding

Shengqiang Li, Menglong Xu, Xiao-Lei Zhang

Transformer-based end-to-end speech recognition models have received considerable attention in recent years due to their high training speed and ability to model a long-range globa…

eess.AS2021

AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data

Menglong Xu, Shengqiang Li, Chengdong Liang +1

Deep neural networks provide effective solutions to small-footprint keyword spotting (KWS). However, if training data is limited, it remains challenging to achieve robust and highl…

eess.AS2021★ 8 cited

Libri-adhoc40: A dataset collected from synchronized ad-hoc microphone arrays

Shanzheng Guan, Shupei Liu, Junqi Chen +8

Recently, there is a research trend on ad-hoc microphone arrays. However, most research was conducted on simulated data. Although some data sets were collected with a small number…

cs.SD2021★ 11 cited

Efficient conformer-based speech recognition with linear attention

Shengqiang Li, Menglong Xu, Xiao-Lei Zhang

Recently, conformer-based end-to-end automatic speech recognition, which outperforms recurrent neural network based ones, has received much attention. Although the parallel computi…

cs.SD2021★ 2 cited

Transformer-based end-to-end speech recognition with residual Gaussian-based self-attention

Chengdong Liang, Menglong Xu, Xiao-Lei Zhang

Self-attention (SA), which encodes vector sequences according to their pairwise similarity, is widely used in speech recognition due to its strong context modeling ability. However…