| Presentation | 1997/9/11 Noise Reduction of LSP parameters : Comparison between Neural Networks and K-L transform Mitsuharu Hasumi, Tetsuo Funada, Yoshinori Morita, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we investigate to reduce noise of LSP parameter with Neural Networks trained by non-noise LSP parameter. We quantize a vector of LSP parameters by scalar-quantizing the output of each unit of hidden layer and we find an appropriate number of scalar quantization bits to reduce noise. We investigate performance dependency on the number of middle layer units and compare between three-layer and five-layer Neural Networks. We also investigate to reduce noise with K-L transform and compare the performance between K-L transform and Neural Networks. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | LSP parameter / noise reduction / neural networks / K-L transform |
| Paper # | SP97-42 |
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| Conference Information | |
| Committee | SP |
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| Conference Date | 1997/9/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Speech (SP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Noise Reduction of LSP parameters : Comparison between Neural Networks and K-L transform |
| Sub Title (in English) | |
| Keyword(1) | LSP parameter |
| Keyword(2) | noise reduction |
| Keyword(3) | neural networks |
| Keyword(4) | K-L transform |
| 1st Author's Name | Mitsuharu Hasumi |
| 1st Author's Affiliation | Faculty of Engineering, Kanazawa University() |
| 2nd Author's Name | Tetsuo Funada |
| 2nd Author's Affiliation | Faculty of Engineering, Kanazawa University |
| 3rd Author's Name | Yoshinori Morita |
| 3rd Author's Affiliation | Ishikawa National College of Technology |
| Date | 1997/9/11 |
| Paper # | SP97-42 |
| Volume (vol) | vol.97 |
| Number (no) | 248 |
| Page | pp.pp.- |
| #Pages | 8 |
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