2 citations · 4 across the 7 of their papers we have counts for
6 papers · 1 filter
Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR
Xugang Lu, Peng Shen, Yu Tsao +1
Transferring linguistic knowledge from a pretrained language model (PLM) to acoustic feature learning has proven effective in enhancing end-to-end automatic speech recognition (E2E…
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…
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…
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…
Partial Coupling of Optimal Transport for Spoken Language Identification
Xugang Lu, Peng Shen, Yu Tsao +1
In order to reduce domain discrepancy to improve the performance of cross-domain spoken language identification (SLID) system, as an unsupervised domain adaptation (UDA) method, we…
Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification
Xugang Lu, Peng Shen, Yu Tsao +1
Generative probability models are widely used for speaker verification (SV). However, the generative models are lack of discriminative feature selection ability. As a hypothesis te…