Speech enhancement for bone-conducted speech based on low-order cepstrum restoration
Daiki Watanabe, Yosuke Sugiura, Tetsuya Shimamura, Hisanori Makinae · 2017
In this paper, we propose a bone-conducted (BC) speech enhancement method using a deep neural network (DNN). Focusing on that the vocal tract components appear only on the low-order cepstrum, we restore the low-order cepstrum of BC speech so as to be close to that of AC speech. The results in experiments show that BC speech processed by the proposed method becomes more similar to AC speech than the conventional method.