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Peng Shen

14 papers hereh-index 10355 citations52 works total

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

author position
  • first author3
  • middle author10

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • eess.AS6
  • cs.SD4
  • cs.CL3
  • cs.LG1
same name
  • Peng Shen — 2 papers, h 2
  • Peng Shen — 1 paper
  • Peng Shen — 1 paper, h 3
  • Peng Shen — 1 paper, h 4
  • Peng Shen — 1 paper

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
20192026
most citedPartial Coupling of Optimal Transport for Spoken Language Identification

2 citations · 4 across the 10 of their papers we have counts for

collaborators
Showing cs.SDShow all

4 papers · 1 filter

cs.SD2026

Optimal Transport-based Semantic Alignment for LLM-based Audio-Visual Speech Recognition

Xugang Lu, Peng Shen, Yu Tsao +1

Large language model (LLM)-based audio-visual speech recognition (LLM-AVSR) has recently demonstrated strong robustness in adverse acoustic environments by leveraging complementary…

cs.SD2024

Temporal Order Preserved Optimal Transport-based Cross-modal Knowledge Transfer Learning for ASR

Xugang Lu, Peng Shen, Yu Tsao +1

Transferring linguistic knowledge from a pretrained language model (PLM) to an acoustic model has been shown to greatly improve the performance of automatic speech recognition (ASR…

cs.SD2023

Speaker Mask Transformer for Multi-talker Overlapped Speech Recognition

Peng Shen, Xugang Lu, Hisashi Kawai

Multi-talker overlapped speech recognition remains a significant challenge, requiring not only speech recognition but also speaker diarization tasks to be addressed. In this paper,…

cs.SD2019

Cross-scale Attention Model for Acoustic Event Classification

Xugang Lu, Peng Shen, Sheng Li +2

A major advantage of a deep convolutional neural network (CNN) is that the focused receptive field size is increased by stacking multiple convolutional layers. Accordingly, the mod…

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