50 citations · 57 across the 18 of their papers we have counts for
5 papers · 1 filter
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization
Dianwen Ng, Jia Qi Yip, Tanmay Surana +6
Noise robustness in keyword spotting remains a challenge as many models fail to overcome the heavy influence of noises, causing the deterioration of the quality of feature embeddin…
Amino Acid Classification in 2D NMR Spectra via Acoustic Signal Embeddings
Jia Qi Yip, Dianwen Ng, Bin Ma +2
Nuclear Magnetic Resonance (NMR) is used in structural biology to experimentally determine the structure of proteins, which is used in many areas of biology and is an important par…
Small Footprint Multi-channel ConvMixer for Keyword Spotting with Centroid Based Awareness
Dianwen Ng, Jin Hui Pang, Yang Xiao +3
It is critical for a keyword spotting model to have a small footprint as it typically runs on-device with low computational resources. However, maintaining the previous SOTA perfor…
ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword Spotting
Dianwen Ng, Yunqi Chen, Biao Tian +2
Building efficient architecture in neural speech processing is paramount to success in keyword spotting deployment. However, it is very challenging for lightweight models to achiev…
On the Effectiveness of Pinyin-Character Dual-Decoding for End-to-End Mandarin Chinese ASR
Zhao Yang, Dianwen Ng, Xiao Fu +5
End-to-end automatic speech recognition (ASR) has achieved promising results. However, most existing end-to-end ASR methods neglect the use of specific language characteristics. Fo…