Multi-Condition Training of Denoising Autoencoder by Augmenting Simulated Reverberant Speech Data. - Raufun Nahar; Takashi Kawai; Atsuhiko Kai (GCCE, 2018)

Effect of Data Augmentation on DNN-Based VAD for Automatic Speech Recognition in Noisy Environment. - Raufun Nahar; Atsuhiko Kai (GCCE, 2020)

Domain Adaptation with Augmented Data by Deep Neural Network Based Method Using Re-Recorded Speech for Automatic Speech Recognition in Real Environment. - Raufun Nahar; Shogo Miwa; Atsuhiko Kai (Sensors, 2022)

Comparison of Large Pre-trained Models and Adaptation Methods for Japanese Dialects ASR. - Naoki Takahashi; Shogo Miwa; Yuta Kamiya; Takumi Toyama; Raufun Nahar; Atsuhiko Kai (GCCE, 2024)