M. Yamashita

发表

Detection of anchors ’ utterances in broadcast news using i-vector-based speaker similarity and temporal information

D. Nozaki, M. Yamashita, Hiroyuki Takada, 2019 .

Title Classification between normal and abnormal respiratory sounds based onmaximum likelihood approach

K. Yamauchi, M. Yamashita, S. Matsunaga, 2019 .

Detection of abnormal lung sounds considering spectral and temporal features of heart sounds

M. Yamashita, S. Matsunaga, M. Taguchi, 2016 .

Modeling occurrence tendency of adventitious sounds and noises for detection of abnormal lung sounds

K. Yamauchi, M. Yamashita, S. Matsunaga, 2013 .

Detection of abnormal lung sounds taking into account duration distribution for adventitious sounds

Sueharu Miyahara, Shoichi Matsunaga, Masaru Yamashita, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Classification between normal and abnormal respiratory sounds based on stochastic approach

Sueharu Miyahara, Shoichi Matsunaga, Katsuya Yamauchi, 2010 .

Classification between normal and abnormal respiratory sounds based on maximum likelihood approach

Katsuya Yamauchi, Sueharu Miyahara, Shoichi Matsunaga, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Discrimination between healthy subjects and patients with pulmonary emphysema by detection of abnormal respiration

Sueharu Miyahara, Shoichi Matsunaga, Masaru Yamashita, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Detection of patients considering observation frequency of continuous and discontinuous adventitious sounds in lung sounds

Naoki Nakamura, Shoichi Matsunaga, Masaru Yamashita, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Classification of healthy subjects and patients with pulmonary emphysema using continuous respiratory sounds

Naoki Nakamura, Shoichi Matsunaga, Masaru Yamashita, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.