2 citations · 4 across the 4 of their papers we have counts for
4 papers
Improving Robustness of Neural Inverse Text Normalization via Data-Augmentation, Semi-Supervised Learning, and Post-Aligning Method
Juntae Kim, Minkyu Lim, Seokjin Hong
Inverse text normalization (ITN) is crucial for converting spoken-form into written-form, especially in the context of automatic speech recognition (ASR). While most downstream tas…
Gradient estimates of very weak solutions to general quasilinear elliptic equations
Sun-Sig Byun, Minkyu Lim
We establish a gradient estimate for a very weak solution to a quasilinear elliptic equation with a nonstandard growth condition, which is a natural generalization of the -Lapla…
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…
A Fast-Converged Acoustic Modeling for Korean Speech Recognition: A Preliminary Study on Time Delay Neural Network
Hosung Park, Donghyun Lee, Minkyu Lim +3
In this paper, a time delay neural network (TDNN) based acoustic model is proposed to implement a fast-converged acoustic modeling for Korean speech recognition. The TDNN has an ad…