277 citations · 1.6k across the 56 of their papers we have counts for
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eess.AS2020★ 4 cited
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples
Jihwan Bang, Heesu Kim, YoungJoon Yoo +1
The cost of annotating transcriptions for large speech corpora becomes a bottleneck to maximally enjoy the potential capacity of deep neural network-based automatic speech recognit…
eess.AS2018★ 29 cited
Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement
Jang-Hyun Kim, Jaejun Yoo, Sanghyuk Chun +2
We present a hybrid framework that leverages the trade-off between temporal and frequency precision in audio representations to improve the performance of speech enhancement task.…