A sound field reproduction method is proposed that uses blind source separation and a head-related transfer function. In the proposed system, multichannel acoustic signals captured at distant microphones are decomposed to a set of location/signal pairs of virtual sound sources based on frequency-domain independent component analysis. After estimating the locations and the signals of the virtual sources by convolving the controlled acoustic transfer functions with each signal, the spatial sound is constructed at the selected point. In experiments, a sound field made by six sound sources is captured using 48 distant microphones and decomposed into sets of virtual sound sources. Since subjective evaluation shows no significant difference between natural and reconstructed sound when six virtual sources and are used, the effectiveness of the decomposing algorithm as well as the virtual source representation are confirmed.
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Kenta NIWA, Takanori NISHINO, Kazuya TAKEDA, "Selective Listening Point Audio Based on Blind Signal Separation and Stereophonic Technology" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 3, pp. 469-476, March 2009, doi: 10.1587/transinf.E92.D.469.
Abstract: A sound field reproduction method is proposed that uses blind source separation and a head-related transfer function. In the proposed system, multichannel acoustic signals captured at distant microphones are decomposed to a set of location/signal pairs of virtual sound sources based on frequency-domain independent component analysis. After estimating the locations and the signals of the virtual sources by convolving the controlled acoustic transfer functions with each signal, the spatial sound is constructed at the selected point. In experiments, a sound field made by six sound sources is captured using 48 distant microphones and decomposed into sets of virtual sound sources. Since subjective evaluation shows no significant difference between natural and reconstructed sound when six virtual sources and are used, the effectiveness of the decomposing algorithm as well as the virtual source representation are confirmed.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.469/_p
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@ARTICLE{e92-d_3_469,
author={Kenta NIWA, Takanori NISHINO, Kazuya TAKEDA, },
journal={IEICE TRANSACTIONS on Information},
title={Selective Listening Point Audio Based on Blind Signal Separation and Stereophonic Technology},
year={2009},
volume={E92-D},
number={3},
pages={469-476},
abstract={A sound field reproduction method is proposed that uses blind source separation and a head-related transfer function. In the proposed system, multichannel acoustic signals captured at distant microphones are decomposed to a set of location/signal pairs of virtual sound sources based on frequency-domain independent component analysis. After estimating the locations and the signals of the virtual sources by convolving the controlled acoustic transfer functions with each signal, the spatial sound is constructed at the selected point. In experiments, a sound field made by six sound sources is captured using 48 distant microphones and decomposed into sets of virtual sound sources. Since subjective evaluation shows no significant difference between natural and reconstructed sound when six virtual sources and are used, the effectiveness of the decomposing algorithm as well as the virtual source representation are confirmed.},
keywords={},
doi={10.1587/transinf.E92.D.469},
ISSN={1745-1361},
month={March},}
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TY - JOUR
TI - Selective Listening Point Audio Based on Blind Signal Separation and Stereophonic Technology
T2 - IEICE TRANSACTIONS on Information
SP - 469
EP - 476
AU - Kenta NIWA
AU - Takanori NISHINO
AU - Kazuya TAKEDA
PY - 2009
DO - 10.1587/transinf.E92.D.469
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2009
AB - A sound field reproduction method is proposed that uses blind source separation and a head-related transfer function. In the proposed system, multichannel acoustic signals captured at distant microphones are decomposed to a set of location/signal pairs of virtual sound sources based on frequency-domain independent component analysis. After estimating the locations and the signals of the virtual sources by convolving the controlled acoustic transfer functions with each signal, the spatial sound is constructed at the selected point. In experiments, a sound field made by six sound sources is captured using 48 distant microphones and decomposed into sets of virtual sound sources. Since subjective evaluation shows no significant difference between natural and reconstructed sound when six virtual sources and are used, the effectiveness of the decomposing algorithm as well as the virtual source representation are confirmed.
ER -