activity
20192026
most citedPartial Coupling of Optimal Transport for Spoken Language Identification

2 citations · 6 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CL2023

Generative linguistic representation for spoken language identification

Peng Shen, Xuguang Lu, Hisashi Kawai

Effective extraction and application of linguistic features are central to the enhancement of spoken Language IDentification (LID) performance. With the success of recent large mod…

cs.SD2023★ 1 cited

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,…

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…