ESPnet

AbstractThis paper describes the Johns Hopkins University (JHU) and Kyoto University submissions to the Speech Translation evaluation campaign at IWSLT2018. Our end-to-end speech translation systems are based on ESPnet and …...

In order to study the effectiveness of the current deep learning-based speech recognition models in the speech recognition tasks of Taiwanese Southern Min Recommended Characters and Taiwan Minnanyu Luomazi Pinyin, …...

This paper is a preliminary study on Hakka speech recognition using the end-to-end Branchformer framework provided by the ESPnet. Two types of recognition targets were tested: character and Hakka pinyin. …...