M. Matsumoto and S. Hashimoto (Japan)
Sound source separation, Directional microphones, Aggre gated microphones, Frequency analysis, Discrete Fourier transformation, The ratio of the directivity
This paper introduces SAFIA: sound source Segregation based on estimating incident Angle of each Frequency component of Input sources Acquired by multiple micro phones, which utilizes the level differences of directional microphones located at the same place, namely aggregated microphones. SAFIA can realize sound source separation based on the difference of the power level between two mi crophones. In the conventional SAFIA, one microphone for target signal (handset) is located near the target signal. The other microphone for noise signal is located far from the target signal. Hence, SAFIA needs the large system size. Our research target is to solve this problem utiliz ing aggregated microphones. In this paper, we firstly ex plain the conventional SAFIA system and the problem of SAFIA. We then apply SAFIA to the aggregated micro phones and compare the proposed method with the con ventional SAFIA. We demonstrate the experimental results of sound separation utilizing the proposed method.
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