Search Results for author: Hsien-Wei Ting

Found 2 papers, 0 papers with code

Chinese Medical Speech Recognition with Punctuated Hypothesis

no code implementations ROCLING 2021 Sheng-Luen Chung, Jin-Huan Fan, Hsien-Wei Ting

However, earlier research aimed on Chinese medical speech corpus (ChiMeS) has two shortcomings: first is the lack of punctuation, resulting in reduced readability of the output transcript, and second is the poor recognition error rate, affecting its application put to the fields.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Data centric approach to Chinese Medical Speech Recognition

no code implementations ROCLING 2021 Sheng-Luen Chung, Yi-Shiuan Li, Hsien-Wei Ting

Overall, to facilitate the development of Chinese medical speech recognition, this paper contributes: (1) The ChiMeS corpus, the first Chinese Medicine Speech corpus of its kind, which is 14. 4 hours, with a total of 7, 225 sentences.

Data Augmentation speech-recognition +1

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