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Chengxu Yang

2 accepted papers

2025

Automatic Text Pronunciation Correlation Generation and Application for Contextual Biasing

ICASSP 2025accepted

Effectively distinguishing the pronunciation correlations between different written texts is a significant issue in linguistic acoustics. Traditionally, such pronunciation correlations are obtained through manually designed pronunciation lexicons. In this paper, we propose a data-driven method to au…

Cited by 0SourceScholar
2025

Hybrid Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition

ICASSP 2025accepted

Pseudo-labeling based semi-supervised learning can mitigate the performance degradation resulting from the absence of labeled data in the target domain. In pseudo-labeling, the quality of pseudo-labels is crucial for the final performance. However, most works overlook the potential benefits of using…

Cited by 0SourceScholar