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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 10:40 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Drum transcription based on periodicity between bars Masaki Suga, Tetsuya Matsumoto (Nagoyoa Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo (Nagoyoa Univ.)  IMQ2023-27 IE2023-82 MVE2023-56 |
Automatic musical score estimation from acoustic signals has been studied for a long time. In this study, acoustic signa... [more] | IMQ2023-27 IE2023-82 MVE2023-56 pp.81-86 |
| PRMU, IPSJ-CVIM | 2021-03-05 10:00 |
Online | Online | Automatic music transcription system based on convolutional neural network for electric guitar considering sounds of same pitch and different strings Toshiaki Matsui, Tetsuya Matsumoto, Hiroaki Kudo (Nagoya Univ), Yoshinori Takeuchi (Daido Univ) PRMU2020-86 |
In this research, we propose a system that outputs tablature notation of an electric guitar performance from acoustic si... [more] | PRMU2020-86 pp.97-102 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:00 |
Okinawa | [Poster Presentation]
Automatic transcription of playing the shamisen by harmonic structure and positions on pressable string Keita Masaki, Hiroaki Kudo, Tetsuya Matsumoto, Noboru Ohnishi (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.) EA2017-117 SIP2017-126 SP2017-100 |
In this report, we propose a method to estimate onset times, pitches and sounding string of a shamisen performance in or... [more] | EA2017-117 SIP2017-126 SP2017-100 pp.93-100 |
|
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | IBISML2017-54 |
(To be available after the conference date) [more] | IBISML2017-54 pp.147-153 |
| PRMU, BioX | 2017-03-20 15:45 |
Aichi | Automatic Transcription of Slap Bass Using Spectral Characteristics and Performance Constraints Kiyotaka Yamamoto, Harumi Murata (Chukyo Univ.), Akio Ogihara (Kinda Univ.), Yoshito Mekada (Chukyo Univ.) BioX2016-44 PRMU2016-207 |
It is a very important element technology to estimate the pitch in automatic transcription. In pitch estimation target... [more] |
BioX2016-44 PRMU2016-207 pp.63-66 |
|
| MBE, NC (Joint) |
2017-03-13 10:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | A study on the discrimination of triad pitch using the fundamental tone voting method Masataka Sawa, Susumu Kuroyanagi (NIT) NC2016-66 |
The pitch discrimination is one of the most difficult part of the music transcription. Nakagawa et al proposed the pitc... [more] |
NC2016-66 pp.13-18 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii (Kyoto Univ.) IBISML2016-93 |
(To be available after the conference date) [more] | IBISML2016-93 pp.337-343 |
| SP | 2016-08-24 14:00 |
Kyoto | ACCMS, Kyoto Univ. | [Invited Talk]
Unsupervised Music Understanding based on Hierarchical Bayesian Acoustic and Language Models Kazuyoshi Yoshii (Kyoto Univ.) SP2016-29 |
This paper presents a statistical approach to unsupervised music understanding. Our goal is to estimate musical notes fr... [more] | SP2016-29 pp.13-18 |
| EA | 2011-06-24 11:45 |
Hokkaido | Health Sci. Univ. of Hokkaido | Chord estimation based on subjective criteria Masayuki Okui, Takanori Nishino, Hiroshi Naruse (Mie Univ.) EA2011-39 |
Many automatic transcription systems have been proposed and developed. In the automatic transcription system, one of i... [more] |
EA2011-39 pp.53-58 |
| EA | 2010-06-10 16:00 |
Hokkaido | Health Sci. Univ. of Hokkaido | An Audio Watermarking Method for Single Musical Instrument in Consideration of Pitch Estimation Harumi Murata, Akio Ogihara, Motoi Iwata, Akira Shiozaki (Osaka Prefecture Univ.) EA2010-26 |
In this paper, we aim to embed watermark information without perception of deterioration of sound quality based on water... [more] | EA2010-26 pp.25-30 |
| EA, US (Joint) |
2010-01-26 10:25 |
Osaka | Consideration of pitch estimation for consonance noticing each component of musical sound by DFT Kota Nakamura (Toyohashi Univ. of Tech.) EA2009-108 |
In this paper, a pitch estimation method for consonance which containing overlapping harmonic components using DFT and t... [more] | EA2009-108 pp.55-60 |
|
| SIS | 2009-12-17 14:50 |
Kyoto | A pitch estimator with inverse notch filters extracting harmonic components Arata Kawamura, Motoki Mizuno, Youji Iiguni (Osaka Univ.) SIS2009-39 |
Pitch name estimation is an indispensable technique for achieving automatic music transcription. We previously proposed ... [more] | SIS2009-39 pp.49-53 |
|
| EA | 2009-06-25 16:30 |
Hokkaido | Design of Phoneme MIDI Codes Using the MIDI Encoding Tool "Auto-F" and Realizing Voice Synthesizing Functions Based on Musical Sounds Toshio Modegi (Dai Nippon Printing Co., Ltd.) EA2009-24 |
Using our previously developed audio to MIDI code converter tool “Auto-F”, from given vocal acoustic signals we can crea... [more] | EA2009-24 pp.37-42 |
|
| EA | 2009-06-25 17:00 |
Hokkaido | "Scorer SOFT": An Automatic Scoring System by Matching between Segmental Occurrence Frequency of F0/IOI and Scale/Time-Value Templates Tomoya Matsunaga, Masuzo Yanagida (Doshisha Univ.) EA2009-25 |
This report compares performance of an automatic system with human scoring on singing voice. The scoring system proposed... [more] | EA2009-25 pp.43-48 |
|
| EA, SIP, SP | 2009-05-28 17:15 |
Hyogo | A pitch name estimator using inverse notch filter with adaptive threshold Makoto Shinoda, Gou Uchida, Arata Kawamura, Youji Iiguni (Osaka Univ.) EA2009-8 SIP2009-8 SP2009-13 |
We have proposed the method which estimates fundamental frequency (pitch) in musical signal using inverse notch filter．I... [more] | EA2009-8 SIP2009-8 SP2009-13 pp.39-43 |
|
| MoNA, IPSJ-AVM, ITE-CE, ITE-ME | 2008-07-23 15:30 |
Tokyo | Shibaura Institute of Technology | The performance improvement by user support for automatic transcription Kentaro Kitaichi, Jiro Katto (Waseda Univ.) |
Regarding the automatic transcription, studies on multi-pitch estimation have been pursued for a long time. However, mos... [more] | MoMuC2008-34 pp.45-50 |
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