Feature Extraction and Signal Reconstruction of Air and Bone Conduction Voices by Independent Component Analysis
Feature Extraction and Signal Reconstruction of Air and Bone Conduction Voices by Independent Component Analysis
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发表时间：
2008-03
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通讯作者：
T. Azetsu;E. Uchino;R. Kubota;N. Suetake
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作者：
T. Azetsu;E. Uchino;R. Kubota;N. Suetake
本文讨论了利用独立分量分析（伊卡）在时域内对气导和骨导语音进行特征提取和信号重构。首先示出了通过应用伊卡提取的空气和骨传导语音的基函数，然后从信号压缩的观点研究了通过使用这些基函数中的几个的信号重构的质量。
We discuss in this paper the feature extraction and signal reconstruction of air and bone conduction voices in the time domain by applying the independent component analysis (ICA). The basis functions of the air and bone conduction voices extracted by applying ICA are shown first, and then the quality of the signal reconstruction by using several of those basis functions is investigated from the signal compression viewpoint.