| Presentation | 2022-03-04 An estimation method of missing Information of compressed sound source using the Deep U-Net as an Auto-Encoder Kazuma Hirai, Susumu Kuroyanagi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Some systems of speech-based information transmission, such as radio, telephone, and records, deal with sounds that lack information due to compression. This sound degradation is irreversible and not easy to recover. In this research, U-Net, a kind of CNN (convolutional neaural network), is used as an autoencoder to estimate and the missing information from compressed sound sources. In this paper, we propose a method to create a network that generates the information that the compressed sound had before compression by using U-Net for musical sounds for which large amounts of uncompressed data are available. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | compressed sound source / CNN / U-Net / Auto-Encoder |
| Paper # | NC2021-69 |
| Date of Issue | 2022-02-23 (NC) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2022/3/2(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.) |
| Vice Chair | Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo) |
| Secretary | Junichi Hori(Osaka Electro-Communication Univ) / Hiroshi Yamakawa(ATR) |
| Assistant | Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An estimation method of missing Information of compressed sound source using the Deep U-Net as an Auto-Encoder |
| Sub Title (in English) | |
| Keyword(1) | compressed sound source |
| Keyword(2) | CNN |
| Keyword(3) | U-Net |
| Keyword(4) | Auto-Encoder |
| 1st Author's Name | Kazuma Hirai |
| 1st Author's Affiliation | Nagoya Institute of Technology(NITech) |
| 2nd Author's Name | Susumu Kuroyanagi |
| 2nd Author's Affiliation | Nagoya Institute of Technology(NITech) |
| Date | 2022-03-04 |
| Paper # | NC2021-69 |
| Volume (vol) | vol.121 |
| Number (no) | NC-390 |
| Page | pp.pp.121-126(NC), |
| #Pages | 6 |
| Date of Issue | 2022-02-23 (NC) |