5 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenario
Chiang-Jen Peng, Yun-Ju Chan, Cheng Yu +3
Multi-task learning (MTL) and attention mechanism have been proven to effectively extract robust acoustic features for various speech-related tasks in noisy environments. In this s…
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition
Yih-Liang Shen, Chao-Yuan Huang, Syu-Siang Wang +3
Conventional deep neural network (DNN)-based speech enhancement (SE) approaches aim to minimize the mean square error (MSE) between enhanced speech and clean reference. The MSE-opt…
Singing voice correction using canonical time warping
Yin-Jyun Luo, Ming-Tso Chen, Tai-Shih Chi +1
Expressive singing voice correction is an appealing but challenging problem. A robust time-warping algorithm which synchronizes two singing recordings can provide a promising solut…