Presentation | 2006/12/14 Noise Detection with Multi-class AdaBoost Nobuyuki MIYAKE, Tetsuya TAKIGUCHI, Yasuo ARIKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A noise signal decreases speech recognition rate. Therefore, noise reduction is important, and it needs to estimate the noise signal. However, estimating noise is difficult when the noise happens suddenly in a speech. We proposed the method for detecting and identifying the noise in a speech, where it happens suddenly. Its effectiveness is confirmed at SNR -5~5dB for the noise duration time 200ms. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | noise detection / AdaBoost / Multi-class |
Paper # | NLC2006-30,SP2006-86 |
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Committee | NLC |
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Conference Date | 2006/12/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Noise Detection with Multi-class AdaBoost |
Sub Title (in English) | |
Keyword(1) | noise detection |
Keyword(2) | AdaBoost |
Keyword(3) | Multi-class |
1st Author's Name | Nobuyuki MIYAKE |
1st Author's Affiliation | Department of Computer and System Engineering, Kobe University() |
2nd Author's Name | Tetsuya TAKIGUCHI |
2nd Author's Affiliation | Department of Computer and System Engineering, Kobe University |
3rd Author's Name | Yasuo ARIKI |
3rd Author's Affiliation | Department of Computer and System Engineering, Kobe University |
Date | 2006/12/14 |
Paper # | NLC2006-30,SP2006-86 |
Volume (vol) | vol.106 |
Number (no) | 441 |
Page | pp.pp.- |
#Pages | 6 |
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