5 citations · 6 across the 5 of their papers we have counts for
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cs.SD2019
Exploring Lexicon-Free Modeling Units for End-to-End Korean and Korean-English Code-Switching Speech Recognition
Jisung Wang, Jihwan Kim, Sangki Kim +1
As the character-based end-to-end automatic speech recognition (ASR) models evolve, the choice of acoustic modeling units becomes important. Since Korean is a fairly phonetic langu…
eess.AS2019★ 1 cited
Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder
Minkyu Lim, Ji-Hwan Kim
While the Kaldi framework provides state-of-the-art components for speech recognition like feature extraction, deep neural network (DNN)-based acoustic models, and a weighted finit…