| Presentation | 2016-10-14 A compression method for multi-channel signal based on the principal component analysis Hironori Sato, Arif Herusetyo Wicaksono, Shuichi Sakamoto, Cesar Daniel Salvador, Jorge Trevino, Yoiti Suzuki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Network usage costs are a serious obstacle to the transmission of multi-channel microphone arrays recordings when communicating accurate 3D sound. This makes it important to develop efficient compression methods for microphone array signals. Inter-channel correlations are high if average microphone distances are shorter than the wavelengths present in the source, resulting in large redundancies in the recorded data. Principal component analysis (PCA) was previously applied in the time domain to remove such redundancies. In this report, the technique is now applied in the frequency domain by using the discrete cosine transform. Numerical experiments show that the bitrate of the compressed data can be around one third that of the original, uncompressed recordings while retaining high spatial resolution better than conventional audio compression algorithms. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | multi-channel signal compression / principal component analysis / head-related transfer function / eigenvalue decomposition / modified discrete cosine transform |
| Paper # | EA2016-32 |
| Date of Issue | 2016-10-07 (EA) |
| Conference Information | |
| Committee | EA / ASJ-H / IPSJ-MUS |
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| Conference Date | 2016/10/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Noto Omakidai (Nanao) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Engineering/Electro Acoustics, Psychological and Physiological Acoustics, Music Information Processing, and Related Topics |
| Chair | Mitsunori Mizumachi(Kyushu Inst. of Tech.) / Tatsuya Hirahara(富山県立大) / Tetsuro Kitahara(日大) |
| Vice Chair | Yoichi Haneda(Univ. of Electro-Comm.) / Suehiro Shimauchi(NTT) / Shigeto Furukawa(NTT) |
| Secretary | Yoichi Haneda(KDDI R&D Labs.) / Suehiro Shimauchi(Akita Pref. Univ.) / Shigeto Furukawa(リオン) / (電通大) |
| Assistant | Shigeto Takeoka(Shizuoka Inst. of Science and Tech.) / TREVINO Jorge(Tohoku Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Engineering Acoustics / Auditory Research Meeting / Special Interest Group on Music and Computer |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A compression method for multi-channel signal based on the principal component analysis |
| Sub Title (in English) | |
| Keyword(1) | multi-channel signal compression |
| Keyword(2) | principal component analysis |
| Keyword(3) | head-related transfer function |
| Keyword(4) | eigenvalue decomposition |
| Keyword(5) | modified discrete cosine transform |
| 1st Author's Name | Hironori Sato |
| 1st Author's Affiliation | Tohoku Uniersity(Tohoku University) |
| 2nd Author's Name | Arif Herusetyo Wicaksono |
| 2nd Author's Affiliation | Tohoku Uniersity(Tohoku University) |
| 3rd Author's Name | Shuichi Sakamoto |
| 3rd Author's Affiliation | Tohoku Uniersity(Tohoku University) |
| 4th Author's Name | Cesar Daniel Salvador |
| 4th Author's Affiliation | Tohoku Uniersity(Tohoku University) |
| 5th Author's Name | Jorge Trevino |
| 5th Author's Affiliation | Tohoku Uniersity(Tohoku University) |
| 6th Author's Name | Yoiti Suzuki |
| 6th Author's Affiliation | Tohoku Uniersity(Tohoku University) |
| Date | 2016-10-14 |
| Paper # | EA2016-32 |
| Volume (vol) | vol.116 |
| Number (no) | EA-246 |
| Page | pp.pp.7-11(EA), |
| #Pages | 5 |
| Date of Issue | 2016-10-07 (EA) |