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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA, ASJ-H, ASJ-AA | 2019-07-17 14:50 |
Hokkaido | SAPPORO COMMUNITY PLAZA | A Study on Automatic Summarization of Music Data Based on Its Acoustic Features Yudai Kikuchi, Naofumi Aoki, Yoshinori Dobashi (Hokkaido Univ.)  EA2019-19 |
This paper describes the method of automatic music summarization. Music has a repetitive structure, so we detect the rep... [more] | EA2019-19 pp.99-102 |
| EA, SIP, SP | 2019-03-15 10:00 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | Consideration on Effectiveness of Relative Phase from Residual Speech for Speaker Recognition Seiichi Nakagawa, Kazumasa Yamamoto, Kazumasa Yamamoto (Chubu Univ.) EA2018-130 SIP2018-136 SP2018-92 |
We have focused on phase spectrum for speaker recognition. So we proposed relative phase as a feature parameter for spea... [more] | EA2018-130 SIP2018-136 SP2018-92 pp.185-190 |
| SP | 2018-08-27 11:35 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Discrimination of pharyngeal residue using swallowing sound in dysphagia diagnosis Tatsunori Uchino, Atsushi Hashizume, Masahisa Katsuno, Tomoki Toda (Nagoya Univ.) SP2018-27 |
The measurement of pharyngeal residue with X-ray fluoroscopy is widely used as a typical diagnosis method of swallowing ... [more] | SP2018-27 pp.23-27 |
| EA, ASJ-H, ASJ-AA | 2018-07-24 13:00 |
Hokkaido | Hokkaido Univ. | [Poster Presentation]
A Study on the Calculation of Similarity of Music Data Based on Its Acoustic Features Yudai Kikuchi, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto (Hokkaido Univ.) EA2018-4 |
This paper explains a music similarity calculation method to provide a summary of music. There is a method for obtaining... [more] | EA2018-4 pp.19-23 |
| EMM | 2018-01-29 15:55 |
Miyagi | Tohoku Univ. (Aobayama Campus) | A Study on Segmentation of Music Based on Changes in Rhythm and Timbre Yudai Kikuchi, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto (Hokkaido Univ.) EMM2017-70 |
This paper describes a method to segment musical data based on changes in rhythm and timbre made by musical instruments ... [more] | EMM2017-70 pp.25-30 |
| SP | 2016-08-24 16:15 |
Kyoto | ACCMS, Kyoto Univ. | [Poster Presentation]
Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech Li Li (Univ.Tsukuba), Hirokazu Kameoka, Takuya Higuchi (NTT), Hiroshi Saruwatari (Univ.Tokyo), Shoji Makino (Univ.Tsukuba) SP2016-32 |
While spectral domain speech enhancement algorithms using non-negative matrix factorization (NMF) are powerful in terms ... [more] | SP2016-32 pp.29-32 |
| SP, IPSJ-SLP (Joint) |
2014-07-25 09:00 |
Iwate | Hotel Hanamaki | Speaker Change Detection using Mel Logarithm Power-Cepstrum and MFCC Masashi Tateno, Eiji Kamioka (Shibaura Inst. of Tech.) SP2014-64 |
Aiming at developing a sophisticated voice recognition service, some approaches such as use of training data to the targ... [more] | SP2014-64 pp.7-12 |
| PRMU | 2009-11-27 09:00 |
Ishikawa | Ishikawa Industrial Promotion Center | High-level Feature Extraction from Video Using SIFT GMM and Acoustic Features Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, Sadaoki Furui (Tokyo Inst. of Tech) PRMU2009-106 |
We propose a statistical framework for high-level feature (HLF) extraction, which employs SIFT Gaussian Mixture Models (... [more] | PRMU2009-106 pp.97-102 |
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