| Presentation | 2000/9/22 Speech Enhancement under Machine Noise Environment : Noise Suppression Based on LPC Estimation and Kalman Filter Naomi Mukou, Kazuki Nishi, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A method for speech enhancement under the machine noise environment is proposed. The key point is to estimate the background noise in advance because the stationary process can be assumed. The noise component to suppress is modeled by the AR process in the no-speech segment and estimated through the Kalman filter from the noise-corrupted speech signal. Finally the target speech can be extracted by substracting the estimated noise from the observation. The performance of noise suppression is examined by comparison between the conventional spectre substraction method and the proposed one. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | speech enhancement / AR process / Kalman filter / machine noise |
| Paper # | EA2000-49 |
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| Conference Information | |
| Committee | EA |
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| Conference Date | 2000/9/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
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| Paper Information | |
| Registration To | Engineering Acoustics (EA) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Speech Enhancement under Machine Noise Environment : Noise Suppression Based on LPC Estimation and Kalman Filter |
| Sub Title (in English) | |
| Keyword(1) | speech enhancement |
| Keyword(2) | AR process |
| Keyword(3) | Kalman filter |
| Keyword(4) | machine noise |
| 1st Author's Name | Naomi Mukou |
| 1st Author's Affiliation | University of Electro-Communications() |
| 2nd Author's Name | Kazuki Nishi |
| 2nd Author's Affiliation | University of Electro-Communications |
| Date | 2000/9/22 |
| Paper # | EA2000-49 |
| Volume (vol) | vol.100 |
| Number (no) | 329 |
| Page | pp.pp.- |
| #Pages | 7 |
| Date of Issue | |