Search Results for author: Ryoichi Miyazaki

Found 2 papers, 0 papers with code

Noisy-target Training: A Training Strategy for DNN-based Speech Enhancement without Clean Speech

no code implementations21 Jan 2021 Takuya Fujimura, Yuma Koizumi, Kohei Yatabe, Ryoichi Miyazaki

This requirement currently restricts the amount of training data for speech enhancement to less than 1/1000 of that of speech recognition which does not need clean signals.

Speech Enhancement speech-recognition +1

Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function

no code implementations14 Feb 2020 Masaki Kawanaka, Yuma Koizumi, Ryoichi Miyazaki, Kohei Yatabe

For evaluating the subjective quality, several methods related to perceptually-motivated objective sound quality assessment (OSQA) have been proposed such as PESQ (perceptual evaluation of speech quality).

Speech Enhancement

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