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Xugang Lu

31 papers hereh-index 264k citations173 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author21
  • last author2

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • eess.AS12
  • cs.SD11
  • stat.ML3
  • cs.CL2
  • cs.LG2
  • eess.SP1
Homepage
same name
  • Xugang Lu — 9 papers, h 3
  • Xugang Lu — 6 papers, h 2
  • Xugang Lu — 3 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedWaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement

77 citations · 243 across the 31 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.SD2023

Multi-Level Knowledge Distillation for Speech Emotion Recognition in Noisy Conditions

Yang Liu, Haoqin Sun, Geng Chen +4

Speech emotion recognition (SER) performance deteriorates significantly in the presence of noise, making it challenging to achieve competitive performance in noisy conditions. To t…

eess.AS2023

Neural domain alignment for spoken language recognition based on optimal transport

Xugang Lu, Peng Shen, Yu Tsao +1

Domain shift poses a significant challenge in cross-domain spoken language recognition (SLR) by reducing its effectiveness. Unsupervised domain adaptation (UDA) algorithms have bee…

eess.AS2023

Hierarchical Cross-Modality Knowledge Transfer with Sinkhorn Attention for CTC-based ASR

Xugang Lu, Peng Shen, Yu Tsao +1

Due to the modality discrepancy between textual and acoustic modeling, efficiently transferring linguistic knowledge from a pretrained language model (PLM) to acoustic encoding for…

eess.AS2023

Cross-modal Alignment with Optimal Transport for CTC-based ASR

Xugang Lu, Peng Shen, Yu Tsao +1

Temporal connectionist temporal classification (CTC)-based automatic speech recognition (ASR) is one of the most successful end to end (E2E) ASR frameworks. However, due to the tok…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.