7 citations · 8 across the 4 of their papers we have counts for
4 papers
FastEnhancer: Speed-Optimized Streaming Neural Speech Enhancement
Sunghwan Ahn, Jinmo Han, Beom Jun Woo +1
Streaming speech enhancement is a crucial task for real-time applications such as online meetings, smart home appliances, and hearing aids. Deep neural network-based approaches ach…
HILCodec: High-Fidelity and Lightweight Neural Audio Codec
Sunghwan Ahn, Beom Jun Woo, Min Hyun Han +2
The recent advancement of end-to-end neural audio codecs enables compressing audio at very low bitrates while reconstructing the output audio with high fidelity. Nonetheless, such…
Inter-KD: Intermediate Knowledge Distillation for CTC-Based Automatic Speech Recognition
Ji Won Yoon, Beom Jun Woo, Sunghwan Ahn +2
Recently, the advance in deep learning has brought a considerable improvement in the end-to-end speech recognition field, simplifying the traditional pipeline while producing promi…
HuBERT-EE: Early Exiting HuBERT for Efficient Speech Recognition
Ji Won Yoon, Beom Jun Woo, Nam Soo Kim
Pre-training with self-supervised models, such as Hidden-unit BERT (HuBERT) and wav2vec 2.0, has brought significant improvements in automatic speech recognition (ASR). However, th…