4 citations · 9 across the 5 of their papers we have counts for
5 papers
Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning
Feng-Ting Liao, Yung-Chieh Chan, Yi-Chang Chen +2
In this work, we propose a method to create domain-sensitive speech recognition models that utilize textual domain information by conditioning its generation on a given text prompt…
g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin
Yi-Chang Chen, Yu-Chuan Chang, Yen-Cheng Chang +1
Polyphone disambiguation is the most crucial task in Mandarin grapheme-to-phoneme (g2p) conversion. Previous studies have approached this problem using pre-trained language models,…
SMILE: Sequence-to-Sequence Domain Adaption with Minimizing Latent Entropy for Text Image Recognition
Yen-Cheng Chang, Yi-Chang Chen, Yu-Chuan Chang +1
Training recognition models with synthetic images have achieved remarkable results in text recognition. However, recognizing text from real-world images still faces challenges due…
Integrated Semantic and Phonetic Post-correction for Chinese Speech Recognition
Yi-Chang Chen, Chun-Yen Cheng, Chien-An Chen +2
Due to the recent advances of natural language processing, several works have applied the pre-trained masked language model (MLM) of BERT to the post-correction of speech recogniti…
Traditional Chinese Synthetic Datasets Verified with Labeled Data for Scene Text Recognition
Yi-Chang Chen, Yu-Chuan Chang, Yen-Cheng Chang +1
Scene text recognition (STR) has been widely studied in academia and industry. Training a text recognition model often requires a large amount of labeled data, but data labeling ca…