Paper Abstract and Keywords |
Presentation |
2018-01-29 14:00
Study on restoration of a spatio-temporal sound pressure distribution image obtained with a microphone array Kenji Ozawa, Masaaki Ito, Genya Shimizu, Eri Takizawa, Masanori Morise (Univ. Yamanashi), Shuichi Sakamoto (Tohoku Univ.) EMM2017-66 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This project aims to achieve sound source separation by two-dimensional fast Fourier transform (2D-FFT) of a spatio-temporal sound pressure distribution image that is composed from the outputs of a microphone array. A target sound that arrives from the front of the array forms a vittate image and thus it appears as direct current (DC) components in the vertical direction in the 2D-FFT spectrum. Noise suppression was intended by the spectral subtraction, in which the noise DC components were estimated in the spectrum by artificial neural networks. As a result, the proposed array processing method with 14-cm length array achieved the comparable performance of a conventional delay and sum beamformer with an approximately 80-cm length array. The restoration of a spatio-temporal sound pressure distribution image of an array with densely spaced microphones was attempted using the image from an array with sparsely spaced microphones. The results suggest that a sufficient performance can be obtained for the telephone speech frequency band. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Micro-spaced microphone array / Spatio-temporal sound pressure distribution image / Image signal processing / Two-dimensional FFT / Sound source separation / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 425, EMM2017-66, pp. 1-6, Jan. 2018. |
Paper # |
EMM2017-66 |
Date of Issue |
2018-01-22 (EMM) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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