| Presentation | 2012-05-25 Combination of noise compensation and SPLICE for noise robust speech recognition Tsunenobu KAI, Masayuki SUZUKI, Nobuaki MINEMATSU, Keikichi HIROSE, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, voices are often used as input modality to mobile terminals or car navigation systems. However, the voices recorded in actual environment frequently contain various kinds of noise and, because of that, the performance of automatic speech recognition systems is largely degraded. To reduce the influence of noise, various methods such as feature normalization or feature enhancement are proposed but a single method cannot reduce all types of the influence of noise. In this paper, we aim at noise robust recognition to combine those methods. SPLICE (Stereo-Piecewise LInear Compensation for Environments) has the characteristics to accept any type of features as its input. So, we investigate a good combination of the existing methods and SPLICE to maximize the performance and the robustness. In English connected digit recognition experiments performed on the Aurora-2 database, the combination of AFE, SPLICE and HEQ in this order showed the highest performance and robustness. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Speech recognition in noisy environment / HEQ / AFE / SPLICE |
| Paper # | EA2012-28,SIP2012-28,SP2012-28 |
| Date of Issue |
| Conference Information | |
| Committee | EA |
|---|---|
| Conference Date | 2012/5/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Engineering Acoustics (EA) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Combination of noise compensation and SPLICE for noise robust speech recognition |
| Sub Title (in English) | |
| Keyword(1) | Speech recognition in noisy environment |
| Keyword(2) | HEQ |
| Keyword(3) | AFE |
| Keyword(4) | SPLICE |
| 1st Author's Name | Tsunenobu KAI |
| 1st Author's Affiliation | The University of Tokyo() |
| 2nd Author's Name | Masayuki SUZUKI |
| 2nd Author's Affiliation | The University of Tokyo |
| 3rd Author's Name | Nobuaki MINEMATSU |
| 3rd Author's Affiliation | The University of Tokyo |
| 4th Author's Name | Keikichi HIROSE |
| 4th Author's Affiliation | The University of Tokyo |
| Date | 2012-05-25 |
| Paper # | EA2012-28,SIP2012-28,SP2012-28 |
| Volume (vol) | vol.112 |
| Number (no) | 47 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |