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M. Kallinger, H. Ochsenfeld, G. Del Galdo, F. Kuech, D. Mahne, R. Schultz-Amling, and O. Thiergart, "A Spatial Filtering Approach for Directional Audio Coding," Paper 7653, (2009 May.). doi: M. Kallinger, H. Ochsenfeld, G. Del Galdo, F. Kuech, D. Mahne, R. Schultz-Amling, and O. Thiergart, "A Spatial Filtering Approach for Directional Audio Coding," Paper 7653, (2009 May.). doi:
Abstract: In hands-free telephony, spatial filtering techniques are employed to enhance intelligibility of speech. More precisely, these techniques aim at reducing the reverberation of the desired speech signal and attenuating interferences. Additionally, it is well-known that the spatially separate reproduction of desired and interfering sources enhance intelligibility of speech. For the latter task, Directional Audio Coding (DirAC) has proven to be an efficient method to capture and reproduce spatial sound. In this contribution, we propose a spatial filtering processing block, which works in the parameter domain of DirAC. Simulation results show that compared to a standard beamformer the novel technique offers significantly higher interference attenuation, while introducing comparably low distortion of the desired signal. Additional subjective tests of speech intelligibility confirm the instrumentally obtained results.

@article{kallinger2009a,
author={kallinger, markus and ochsenfeld, henning and del galdo, giovanni and kuech, fabian and mahne, dirk and schultz-amling, richard and thiergart, oliver},
journal={journal of the audio engineering society},
title={a spatial filtering approach for directional audio coding},
year={2009},
volume={},
number={},
pages={},
doi={},
month={may},} @article{kallinger2009a,
author={kallinger, markus and ochsenfeld, henning and del galdo, giovanni and kuech, fabian and mahne, dirk and schultz-amling, richard and thiergart, oliver},
journal={journal of the audio engineering society},
title={a spatial filtering approach for directional audio coding},
year={2009},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={in hands-free telephony, spatial filtering techniques are employed to enhance intelligibility of speech. more precisely, these techniques aim at reducing the reverberation of the desired speech signal and attenuating interferences. additionally, it is well-known that the spatially separate reproduction of desired and interfering sources enhance intelligibility of speech. for the latter task, directional audio coding (dirac) has proven to be an efficient method to capture and reproduce spatial sound. in this contribution, we propose a spatial filtering processing block, which works in the parameter domain of dirac. simulation results show that compared to a standard beamformer the novel technique offers significantly higher interference attenuation, while introducing comparably low distortion of the desired signal. additional subjective tests of speech intelligibility confirm the instrumentally obtained results.},}

TY - paper
TI - A Spatial Filtering Approach for Directional Audio Coding
SP - EP -
AU - Kallinger, Markus
AU - Ochsenfeld, Henning
AU - Del Galdo, Giovanni
AU - Kuech, Fabian
AU - Mahne, Dirk
AU - Schultz-Amling, Richard
AU - Thiergart, Oliver
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2009 TY - paper
TI - A Spatial Filtering Approach for Directional Audio Coding
SP - EP -
AU - Kallinger, Markus
AU - Ochsenfeld, Henning
AU - Del Galdo, Giovanni
AU - Kuech, Fabian
AU - Mahne, Dirk
AU - Schultz-Amling, Richard
AU - Thiergart, Oliver
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2009
AB - In hands-free telephony, spatial filtering techniques are employed to enhance intelligibility of speech. More precisely, these techniques aim at reducing the reverberation of the desired speech signal and attenuating interferences. Additionally, it is well-known that the spatially separate reproduction of desired and interfering sources enhance intelligibility of speech. For the latter task, Directional Audio Coding (DirAC) has proven to be an efficient method to capture and reproduce spatial sound. In this contribution, we propose a spatial filtering processing block, which works in the parameter domain of DirAC. Simulation results show that compared to a standard beamformer the novel technique offers significantly higher interference attenuation, while introducing comparably low distortion of the desired signal. Additional subjective tests of speech intelligibility confirm the instrumentally obtained results.