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eess.AS2021★ 7 cited
Noisy-target Training: A Training Strategy for DNN-based Speech Enhancement without Clean Speech
Takuya Fujimura, Yuma Koizumi, Kohei Yatabe +1
Deep neural network (DNN)-based speech enhancement ordinarily requires clean speech signals as the training target. However, collecting clean signals is very costly because they mu…
eess.AS2020★ 1 cited
Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function
Masaki Kawanaka, Yuma Koizumi, Ryoichi Miyazaki +1
Improving subjective sound quality of enhanced signals is one of the most important missions in speech enhancement. For evaluating the subjective quality, several methods related t…