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http://dx.doi.org/10.9717/kmms.2016.19.2.128

Noise Cancellation Algorithm of Bone Conduction Speech Signal using Feature of Noise in Separated Band  

Lee, Jina (Dept. of Medical & Biological Eng., Graduate School, Kyungpook National University)
Lee, Gihyoun (Dept. of Medical & Biological Eng., Graduate School, Kyungpook National University)
Na, Sung Dae (Dept. of Medical & Biological Eng., Graduate School, Kyungpook National University)
Seong, Ki Woong (Dept. of Biomedical Eng., Kyungpook National University Hospital)
Cho, Jin Ho (School of Electronics Eng., Kyungpook National University)
Kim, Myoung Nam (Dept. of Biomedical Eng., School of Medicine, Kyungpook National University)
Publication Information
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.
Keywords
Noise Cancellation; Bone Conduction Speech Signal; Perceptual Wavelet Packet Decomposition;
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