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E. Azarov, M. Vashkevich, V. Herasimovich, and A. Petrovsky, "General-Purpose Listening Enhancement Based on Subband Non-Linear Amplification with Psychoacoustic Criterion," Paper 9265, (2015 May.). doi: E. Azarov, M. Vashkevich, V. Herasimovich, and A. Petrovsky, "General-Purpose Listening Enhancement Based on Subband Non-Linear Amplification with Psychoacoustic Criterion," Paper 9265, (2015 May.). doi:
Abstract: Near end listening enhancement is an effective approach for speech intelligibility improvement in noisy conditions that is applied mainly for telecommunications. However potential application field of the concept of near end listening enhancement is much wider and can be extended for listening of any audio content (including music and other sounds) in quiet and noisy conditions. This paper proposes an algorithm for near end listening enhancement designed for processing both speech and music that, considering subjective listening tests, significantly improves the listening experience. The algorithm is based on subband non-linear amplification of the audio signal in accordance with noise spectral characteristics and personal hearing thresholds of the listener. The algorithm is experimentally implemented as an application for smartphones.

@article{azarov2015general-purpose,
author={azarov, elias and vashkevich, maxim and herasimovich, vadzim and petrovsky, alexander},
journal={journal of the audio engineering society},
title={general-purpose listening enhancement based on subband non-linear amplification with psychoacoustic criterion},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},} @article{azarov2015general-purpose,
author={azarov, elias and vashkevich, maxim and herasimovich, vadzim and petrovsky, alexander},
journal={journal of the audio engineering society},
title={general-purpose listening enhancement based on subband non-linear amplification with psychoacoustic criterion},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={near end listening enhancement is an effective approach for speech intelligibility improvement in noisy conditions that is applied mainly for telecommunications. however potential application field of the concept of near end listening enhancement is much wider and can be extended for listening of any audio content (including music and other sounds) in quiet and noisy conditions. this paper proposes an algorithm for near end listening enhancement designed for processing both speech and music that, considering subjective listening tests, significantly improves the listening experience. the algorithm is based on subband non-linear amplification of the audio signal in accordance with noise spectral characteristics and personal hearing thresholds of the listener. the algorithm is experimentally implemented as an application for smartphones.},}

TY - paper
TI - General-Purpose Listening Enhancement Based on Subband Non-Linear Amplification with Psychoacoustic Criterion
SP - EP -
AU - Azarov, Elias
AU - Vashkevich, Maxim
AU - Herasimovich, Vadzim
AU - Petrovsky, Alexander
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015 TY - paper
TI - General-Purpose Listening Enhancement Based on Subband Non-Linear Amplification with Psychoacoustic Criterion
SP - EP -
AU - Azarov, Elias
AU - Vashkevich, Maxim
AU - Herasimovich, Vadzim
AU - Petrovsky, Alexander
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
AB - Near end listening enhancement is an effective approach for speech intelligibility improvement in noisy conditions that is applied mainly for telecommunications. However potential application field of the concept of near end listening enhancement is much wider and can be extended for listening of any audio content (including music and other sounds) in quiet and noisy conditions. This paper proposes an algorithm for near end listening enhancement designed for processing both speech and music that, considering subjective listening tests, significantly improves the listening experience. The algorithm is based on subband non-linear amplification of the audio signal in accordance with noise spectral characteristics and personal hearing thresholds of the listener. The algorithm is experimentally implemented as an application for smartphones.