Presentation | 2013-07-25 Noise reduction based on fragmentary measurement of environmental noise Kohei MACHIDA, Akinori ITO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a speech recognition method under noisy environments using multiple microphones based on asynchronous and intermittent observations. In this method, microphones placed at various locations in the room sometimes observe sounds, and clustering by GMM is performed to model the noise in the environment. Each of the clustered noise spectrum is subtracted from the input signal, and then the noise-reduced signals are decoded in parallel. Then, the final recognition result is determined by integrating all of the recognition results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | noise-robust speech recognition / multiple microphones / noise reduction / GMM |
Paper # | SP2013-53 |
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Committee | SP |
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Conference Date | 2013/7/18(1days) |
Place (in Japanese) | (See Japanese page) |
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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 based on fragmentary measurement of environmental noise |
Sub Title (in English) | |
Keyword(1) | noise-robust speech recognition |
Keyword(2) | multiple microphones |
Keyword(3) | noise reduction |
Keyword(4) | GMM |
1st Author's Name | Kohei MACHIDA |
1st Author's Affiliation | Graduate School of Engineering, Tohoku University() |
2nd Author's Name | Akinori ITO |
2nd Author's Affiliation | Graduate School of Engineering, Tohoku University |
Date | 2013-07-25 |
Paper # | SP2013-53 |
Volume (vol) | vol.113 |
Number (no) | 161 |
Page | pp.pp.- |
#Pages | 6 |
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