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- W2432144268 abstract "In mobile communication, air conduction(AC) speech signal had been commonly used, but it was easily affected by ambient noise environment such as emergency, military action and rescue. To overcome the weakness of the AC speech signal, bone conduction(BC) speech signal have been used. The BC speech signal is transmitted through bone vibration, so it is affected less by the background noise. In this paper, we proposed noise cancellation algorithm of the BC speech signal using noise feature of decomposed bands. The proposed algorithm consist of three steps. First, the BC speech signal is divided into 17 bands using perceptual wavelet packet decomposition. Second, threshold is calculated by noise feature during short time of separated-band and compared to absolute average of the signal frame. Therefore, the speech and noise parts are detected. Last, the detected noise parts are removed and then, noise eliminated bands are re-synthesised. In order to confirm the efficiency of the proposed algorithm, we compared the proposed algorithm with conventional algorithm. And the proposed algorithm has better performance than the conventional algorithm." @default.
- W2432144268 created "2016-06-24" @default.
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- W2432144268 date "2016-02-28" @default.
- W2432144268 modified "2023-09-22" @default.
- W2432144268 title "Noise Cancellation Algorithm of Bone Conduction Speech Signal using Feature of Noise in Separated Band" @default.
- W2432144268 cites W2041306176 @default.
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- W2432144268 doi "https://doi.org/10.9717/kmms.2016.19.2.128" @default.
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