Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
WIT, ASJ-H |
2023-02-18 10:30 |
Online |
Online |
* Shunsuke Kimata (JAIST), Masaharu Kato, Yohko Shimada (Doshisha Univ.) |
[more] |
WIT2022-14 pp.6-9 |
HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi |
Kochi City Culture Plaza (CUL-PORT) |
The effects of gender and autistic tendency on the synchronization of paired walking Chia-huei Tseng, Miao Cheng (HKU), Masaharu Kato (Doshisha U) |
When we walk in pair, our walking steps come to be synchronized without notice. We reported that the behavior is essenti... [more] |
|
HCGSYMPO (2nd) |
2015-12-16 - 2015-12-18 |
Toyama |
Toyama International Conference Center |
The relationship between phase synchronization of steps and conversation during paired walking Masaharu Kato (Doshisha Univ./NTT), Tsukasa Ono (Osaka Univ.), Haruto Hirose, Norimichi Kitagawa, Yuji Takano, Toshitaka Kimura, Makio Kashino (NTT) |
When walking alongside someone, you may find that your legs move in synchrony with theirs. We have reported that this ph... [more] |
|
HCS, HIP, HI-SIGCOASTER [detail] |
2015-05-20 10:45 |
Okinawa |
Okinawa Industry Support Center |
The demonstration of phase synchronization during paired walking Masaharu Kato, Haruto Hirose, Norimichi Kitagawa, Yuji Takano, Toshitaka Kimura, Makio Kashino (NTT) HCS2015-27 HIP2015-27 |
When walking alongside someone, you may find that your legs move in synchrony with theirs. Is this phenomenon a coincide... [more] |
HCS2015-27 HIP2015-27 pp.177-180 |
SP |
2010-07-23 09:25 |
Miyagi |
Ryokusui-tei (Sendai) |
Speech recognition by using word graph combination under various noise conditions Shunsuke Kuramata, Masaharu Kato, Tetsuo Kosaka (Yamagata Univ.) SP2010-41 |
In this paper, we propose a new word graph combination (WGC) approach for speech recognition under various noise conditi... [more] |
SP2010-41 pp.37-42 |
SP |
2010-06-18 09:00 |
Fukuoka |
Kyushu University |
Lecture Speech Recognition Based on Word Graph Combination by using Quinphone HM-Net Masaharu Kato, Tetsuo Kosaka (Yamagata Univ.), Akinori Ito, Shozo Makino (Tohoku Univ.) SP2010-28 |
While high recognition performance has been achieved for read
speech, rather poor performance has been reported for spo... [more] |
SP2010-28 pp.37-42 |
SP |
2009-07-17 13:25 |
Fukushima |
|
Improvement of lecture speech recognition by using speaker-class models Takashi Ito, Yohei Okuyama, Masaharu Kato, Tetsuo Kosaka (Yamagata Univ.), Masaki Kohda (professor emeritus at Yamagata Univ.) SP2009-42 |
This paper describes a new method based on speaker-class (SC) models in order to improve the performance of lecture spee... [more] |
SP2009-42 pp.7-12 |
SP, NLC |
2008-12-09 15:10 |
Tokyo |
Waseda Univ. |
Evaluation of annealing schadule for PLSA language model adaptaion Masaharu Kato, Tetsuo Kosaka (Yamagata Univ.), Akinori Ito, Shozo Makino (Tohoku Univ.) NLC2008-32 SP2008-87 |
Probabilistic Latent Semantic Analysis (PLSA)
is a powerful statistical language model.
However the PLSA has the loca... [more] |
NLC2008-32 SP2008-87 pp.49-53 |
SP |
2008-07-17 - 2008-07-19 |
Iwate |
Iwate Prefectural Univ. |
An Investigation on the speaker Vector-based Speaker Verification Naoki Tadokoro, Masaharu Katoh, Tetsuo Kosaka (Yamagata Univ.) SP2008-46 |
This paper describes the improvement in performance of a text-independent speaker verification based on a speaker vector... [more] |
SP2008-46 pp.19-24 |
SP |
2007-06-29 10:50 |
Fukushima |
The University of Aizu |
An investigation on speaker vector-based speaker identification under noisy conditions Yuki Goto, Tatsuya Akatsu, Masaharu Katoh, Tetsuo Kosaka, Masaki Kohda (Yamagata Univ.) SP2007-18 |
This paper describes the experimental results of the speaker identification method based on a speaker vector under noisy... [more] |
SP2007-18 pp.61-66 |
SP |
2007-06-29 13:00 |
Fukushima |
The University of Aizu |
Improvement of unsupervised adaptation in lecture speech recognition Takashi Kusama, Yohei Okuyama, Masaharu Katoh, Tetsuo Kosaka, Masaki Kohda (Yamagata Univ.) SP2007-20 |
In recent years, many aggressive approaches for large vocabulary continuous speech recognition (LVCSR) system trained on... [more] |
SP2007-20 pp.73-78 |