| Presentation | 2021-01-29 Reproduction of Japanese drumming rhythm by Deep Neural Network(DNN) Kazumi Okamoto, Hiroshi Tamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, artificial intelligence has been applied to music, such as automatic music generation. In this paper, we proposed a method to reproduce rhythms, which are rarely used for automatic generation, using DNNs, and aimed to maintain traditional music by using this method. We used CNN, one of the DNNs, to reproduce the rhythms of Chichibu yatai-bayashi drums from their onsets, and evaluated the reproduced rhythms. Using the BPM index, we estimated the BPM of the waveform synthesized from the onset of the predicted data and the waveform synthesized from the onset of the correct data, respectively, and confirmed that the values were close. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Neural Network / Convolutional Neural Network / Audio Signal Processing |
| Paper # | CAS2020-69,ICTSSL2020-54 |
| Date of Issue | 2021-01-21 (CAS, ICTSSL) |
| Conference Information | |
| Committee | CAS / ICTSSL |
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| Conference Date | 2021/1/28(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Students session, General session |
| Chair | Yasuhiro Takashima(Univ. of Kitakyushu) / Hiroshi Tamura(Chuo Univ.) |
| Vice Chair | Hiroki Sato(Sony LSI Design) / Koichi Gyoda(Shibaura Inst. of Tech.) / Munenari Inoguchi(Toyama Univ.) |
| Secretary | Hiroki Sato(Yamanashi Univ.) / Koichi Gyoda(Sony LSI Design) / Munenari Inoguchi(Synspective) |
| Assistant | Motoi Yamaguchi(TECHNOPRO) / Yohei Nakamura(Hitachi) / Shunichi Yokoyama(NIED) |
| Paper Information | |
| Registration To | Technical Committee on Circuits and Systems / Technical Committee on Information and Communication Technologies for Safe and Secure Life |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Reproduction of Japanese drumming rhythm by Deep Neural Network(DNN) |
| Sub Title (in English) | |
| Keyword(1) | Deep Neural Network |
| Keyword(2) | Convolutional Neural Network |
| Keyword(3) | Audio Signal Processing |
| 1st Author's Name | Kazumi Okamoto |
| 1st Author's Affiliation | Chuo University(Chuo Univ.) |
| 2nd Author's Name | Hiroshi Tamura |
| 2nd Author's Affiliation | Chuo University(Chuo Univ.) |
| Date | 2021-01-29 |
| Paper # | CAS2020-69,ICTSSL2020-54 |
| Volume (vol) | vol.120 |
| Number (no) | CAS-346,ICTSSL-347 |
| Page | pp.pp.158-161(CAS), pp.158-161(ICTSSL), |
| #Pages | 4 |
| Date of Issue | 2021-01-21 (CAS, ICTSSL) |