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Audio and Acoustic Signal Processing

SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS


The combination of coordinated multi-point (CoMP) and underlay spectrum sharing promises substantial spectral efficiency (SE) gains for future cellular networks. However, this concept has been largely overlooked in the literature. Moreover, none of the few relevant studies consider the use of “standard” transmission strategies to facilitate the adoption of the aforementioned communication paradigm by 5G networks.

Paper Details

Authors:
Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou
Submitted On:
10 May 2019 - 9:29am
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[1] Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou, "SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4331. Accessed: Jun. 26, 2019.
@article{4331-19,
url = {http://sigport.org/4331},
author = {Konstantinos Ntougias; Dimitrios Ntaikos; Constantinos B. Papadias; George K. Papageorgiou },
publisher = {IEEE SigPort},
title = {SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS},
year = {2019} }
TY - EJOUR
T1 - SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS
AU - Konstantinos Ntougias; Dimitrios Ntaikos; Constantinos B. Papadias; George K. Papageorgiou
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4331
ER -
Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou. (2019). SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS. IEEE SigPort. http://sigport.org/4331
Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou, 2019. SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS. Available at: http://sigport.org/4331.
Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou. (2019). "SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS." Web.
1. Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou. SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4331

SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS


The combination of coordinated multi-point (CoMP) and underlay spectrum sharing promises substantial spectral efficiency (SE) gains for future cellular networks. However, this concept has been largely overlooked in the literature. Moreover, none of the few relevant studies consider the use of “standard” transmission strategies to facilitate the adoption of the aforementioned communication paradigm by 5G networks.

Paper Details

Authors:
Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou
Submitted On:
10 May 2019 - 9:29am
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[1] Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou, "SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4330. Accessed: Jun. 26, 2019.
@article{4330-19,
url = {http://sigport.org/4330},
author = {Konstantinos Ntougias; Dimitrios Ntaikos; Constantinos B. Papadias; George K. Papageorgiou },
publisher = {IEEE SigPort},
title = {SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS},
year = {2019} }
TY - EJOUR
T1 - SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS
AU - Konstantinos Ntougias; Dimitrios Ntaikos; Constantinos B. Papadias; George K. Papageorgiou
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4330
ER -
Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou. (2019). SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS. IEEE SigPort. http://sigport.org/4330
Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou, 2019. SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS. Available at: http://sigport.org/4330.
Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou. (2019). "SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS." Web.
1. Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos B. Papadias, George K. Papageorgiou. SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4330

ICASSP 2019 SLIDES: SPEAKER CHANGE DETECTION USING FUNDAMENTAL FREQUENCY WITH APPLICATION TO MULTI-TALKER SEGMENTATION


This paper shows that time varying pitch properties can be used advantageously within the segmentation step of a multi-talker diarization system. First a study is conducted to verify that changes in pitch are strong indicators of changes in the speaker. It is then highlighted that an individual’s pitch is smoothly varying and, therefore, can be predicted by means of a Kalman filter. Subsequently it is shown that if the pitch is not predictable then this is most likely due to a change in the speaker.

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Authors:
Aidan O. T. Hogg, Christine Evers, Patrick A. Naylor
Submitted On:
27 May 2019 - 10:54am
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[1] Aidan O. T. Hogg, Christine Evers, Patrick A. Naylor, "ICASSP 2019 SLIDES: SPEAKER CHANGE DETECTION USING FUNDAMENTAL FREQUENCY WITH APPLICATION TO MULTI-TALKER SEGMENTATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4329. Accessed: Jun. 26, 2019.
@article{4329-19,
url = {http://sigport.org/4329},
author = {Aidan O. T. Hogg; Christine Evers; Patrick A. Naylor },
publisher = {IEEE SigPort},
title = {ICASSP 2019 SLIDES: SPEAKER CHANGE DETECTION USING FUNDAMENTAL FREQUENCY WITH APPLICATION TO MULTI-TALKER SEGMENTATION},
year = {2019} }
TY - EJOUR
T1 - ICASSP 2019 SLIDES: SPEAKER CHANGE DETECTION USING FUNDAMENTAL FREQUENCY WITH APPLICATION TO MULTI-TALKER SEGMENTATION
AU - Aidan O. T. Hogg; Christine Evers; Patrick A. Naylor
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4329
ER -
Aidan O. T. Hogg, Christine Evers, Patrick A. Naylor. (2019). ICASSP 2019 SLIDES: SPEAKER CHANGE DETECTION USING FUNDAMENTAL FREQUENCY WITH APPLICATION TO MULTI-TALKER SEGMENTATION. IEEE SigPort. http://sigport.org/4329
Aidan O. T. Hogg, Christine Evers, Patrick A. Naylor, 2019. ICASSP 2019 SLIDES: SPEAKER CHANGE DETECTION USING FUNDAMENTAL FREQUENCY WITH APPLICATION TO MULTI-TALKER SEGMENTATION. Available at: http://sigport.org/4329.
Aidan O. T. Hogg, Christine Evers, Patrick A. Naylor. (2019). "ICASSP 2019 SLIDES: SPEAKER CHANGE DETECTION USING FUNDAMENTAL FREQUENCY WITH APPLICATION TO MULTI-TALKER SEGMENTATION." Web.
1. Aidan O. T. Hogg, Christine Evers, Patrick A. Naylor. ICASSP 2019 SLIDES: SPEAKER CHANGE DETECTION USING FUNDAMENTAL FREQUENCY WITH APPLICATION TO MULTI-TALKER SEGMENTATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4329

ATOM SELECTION IN CONTINUOUS DICTIONARIES: RECONCILING POLAR AND SVD APPROXIMATIONS


This work deals with efficient atom selection procedure in
a continuous dictionary, as required for instance in a Frank-
Wolfe approach within a BLASSO problem for the onedimensional
deconvolution problem. We show that efficient
maximization of a correlation between any given vector and
an atom sweeping a continuous dictionary can be performed
through a particular piece-wise linear approximation of dictionaries:
the polar approximation. We finally identify the
polar approximation as being optimal in a mean square error

Paper Details

Authors:
Cedric HERZET
Submitted On:
10 May 2019 - 9:03am
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[1] Cedric HERZET, "ATOM SELECTION IN CONTINUOUS DICTIONARIES: RECONCILING POLAR AND SVD APPROXIMATIONS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4324. Accessed: Jun. 26, 2019.
@article{4324-19,
url = {http://sigport.org/4324},
author = {Cedric HERZET },
publisher = {IEEE SigPort},
title = {ATOM SELECTION IN CONTINUOUS DICTIONARIES: RECONCILING POLAR AND SVD APPROXIMATIONS},
year = {2019} }
TY - EJOUR
T1 - ATOM SELECTION IN CONTINUOUS DICTIONARIES: RECONCILING POLAR AND SVD APPROXIMATIONS
AU - Cedric HERZET
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4324
ER -
Cedric HERZET. (2019). ATOM SELECTION IN CONTINUOUS DICTIONARIES: RECONCILING POLAR AND SVD APPROXIMATIONS. IEEE SigPort. http://sigport.org/4324
Cedric HERZET, 2019. ATOM SELECTION IN CONTINUOUS DICTIONARIES: RECONCILING POLAR AND SVD APPROXIMATIONS. Available at: http://sigport.org/4324.
Cedric HERZET. (2019). "ATOM SELECTION IN CONTINUOUS DICTIONARIES: RECONCILING POLAR AND SVD APPROXIMATIONS." Web.
1. Cedric HERZET. ATOM SELECTION IN CONTINUOUS DICTIONARIES: RECONCILING POLAR AND SVD APPROXIMATIONS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4324

Federated Learning for Keyword Spotting

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Authors:
David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, Joseph Dureau
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10 May 2019 - 7:40am
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[1] David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, Joseph Dureau, "Federated Learning for Keyword Spotting", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4310. Accessed: Jun. 26, 2019.
@article{4310-19,
url = {http://sigport.org/4310},
author = {David Leroy; Alice Coucke; Thibaut Lavril; Thibault Gisselbrecht; Joseph Dureau },
publisher = {IEEE SigPort},
title = {Federated Learning for Keyword Spotting},
year = {2019} }
TY - EJOUR
T1 - Federated Learning for Keyword Spotting
AU - David Leroy; Alice Coucke; Thibaut Lavril; Thibault Gisselbrecht; Joseph Dureau
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4310
ER -
David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, Joseph Dureau. (2019). Federated Learning for Keyword Spotting. IEEE SigPort. http://sigport.org/4310
David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, Joseph Dureau, 2019. Federated Learning for Keyword Spotting. Available at: http://sigport.org/4310.
David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, Joseph Dureau. (2019). "Federated Learning for Keyword Spotting." Web.
1. David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, Joseph Dureau. Federated Learning for Keyword Spotting [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4310

ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING

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Authors:
Dongsheng Li,Hao Jiang,Zhe Quan
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10 May 2019 - 7:37am
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[1] Dongsheng Li,Hao Jiang,Zhe Quan, "ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4309. Accessed: Jun. 26, 2019.
@article{4309-19,
url = {http://sigport.org/4309},
author = {Dongsheng Li;Hao Jiang;Zhe Quan },
publisher = {IEEE SigPort},
title = {ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING},
year = {2019} }
TY - EJOUR
T1 - ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING
AU - Dongsheng Li;Hao Jiang;Zhe Quan
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4309
ER -
Dongsheng Li,Hao Jiang,Zhe Quan. (2019). ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING. IEEE SigPort. http://sigport.org/4309
Dongsheng Li,Hao Jiang,Zhe Quan, 2019. ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING. Available at: http://sigport.org/4309.
Dongsheng Li,Hao Jiang,Zhe Quan. (2019). "ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING." Web.
1. Dongsheng Li,Hao Jiang,Zhe Quan. ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4309

ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING

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[1] , "ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4308. Accessed: Jun. 26, 2019.
@article{4308-19,
url = {http://sigport.org/4308},
author = { },
publisher = {IEEE SigPort},
title = {ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING},
year = {2019} }
TY - EJOUR
T1 - ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4308
ER -
. (2019). ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING. IEEE SigPort. http://sigport.org/4308
, 2019. ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING. Available at: http://sigport.org/4308.
. (2019). "ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING." Web.
1. . ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4308

ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING

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10 May 2019 - 7:33am
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[1] , "ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4305. Accessed: Jun. 26, 2019.
@article{4305-19,
url = {http://sigport.org/4305},
author = { },
publisher = {IEEE SigPort},
title = {ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING},
year = {2019} }
TY - EJOUR
T1 - ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4305
ER -
. (2019). ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING. IEEE SigPort. http://sigport.org/4305
, 2019. ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING. Available at: http://sigport.org/4305.
. (2019). "ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING." Web.
1. . ITERATIVELYREWEIGHTEDPENALTYALTERNATINGMINIMIZATIONMETHODS WITHCONTINUATIONFORIMAGEDEBLURRING [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4305

Discovering Optimal Variable-length Time Series Motifs in Large-Scale Wearable Recordings of Human Bio-behavioral Signals


Continuously-worn wearable sensors produce copious amounts of rich bio-behavioral time series recordings. Exploring recurring patterns, often known as motifs, in wearable time series offers critical insights into understanding the nature of human behavior. Challenges in discovering motifs from wearable recordings include noise removal, pattern generalization, and accounting for subtle variations between subsequences in one motif set.

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Authors:
Shrikanth Narayanan
Submitted On:
10 May 2019 - 6:20am
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[1] Shrikanth Narayanan, "Discovering Optimal Variable-length Time Series Motifs in Large-Scale Wearable Recordings of Human Bio-behavioral Signals", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4297. Accessed: Jun. 26, 2019.
@article{4297-19,
url = {http://sigport.org/4297},
author = {Shrikanth Narayanan },
publisher = {IEEE SigPort},
title = {Discovering Optimal Variable-length Time Series Motifs in Large-Scale Wearable Recordings of Human Bio-behavioral Signals},
year = {2019} }
TY - EJOUR
T1 - Discovering Optimal Variable-length Time Series Motifs in Large-Scale Wearable Recordings of Human Bio-behavioral Signals
AU - Shrikanth Narayanan
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4297
ER -
Shrikanth Narayanan. (2019). Discovering Optimal Variable-length Time Series Motifs in Large-Scale Wearable Recordings of Human Bio-behavioral Signals. IEEE SigPort. http://sigport.org/4297
Shrikanth Narayanan, 2019. Discovering Optimal Variable-length Time Series Motifs in Large-Scale Wearable Recordings of Human Bio-behavioral Signals. Available at: http://sigport.org/4297.
Shrikanth Narayanan. (2019). "Discovering Optimal Variable-length Time Series Motifs in Large-Scale Wearable Recordings of Human Bio-behavioral Signals." Web.
1. Shrikanth Narayanan. Discovering Optimal Variable-length Time Series Motifs in Large-Scale Wearable Recordings of Human Bio-behavioral Signals [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4297

Perceptually-motivated environment-specific speech enhancement


This paper introduces a deep learning approach to enhance speech recordings made in a specific environment. A single neural network learns to ameliorate several types of recording artifacts, including noise, reverberation, and non-linear equalization. The method relies on a new perceptual loss function that combines adversarial loss with spectrogram features. Both subjective and objective evaluations show that the proposed approach improves on state-of-the-art baseline methods.

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Authors:
Jiaqi Su, Adam Finkelstein, Zeyu Jin
Submitted On:
10 May 2019 - 1:40am
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[1] Jiaqi Su, Adam Finkelstein, Zeyu Jin, "Perceptually-motivated environment-specific speech enhancement", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4272. Accessed: Jun. 26, 2019.
@article{4272-19,
url = {http://sigport.org/4272},
author = {Jiaqi Su; Adam Finkelstein; Zeyu Jin },
publisher = {IEEE SigPort},
title = {Perceptually-motivated environment-specific speech enhancement},
year = {2019} }
TY - EJOUR
T1 - Perceptually-motivated environment-specific speech enhancement
AU - Jiaqi Su; Adam Finkelstein; Zeyu Jin
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4272
ER -
Jiaqi Su, Adam Finkelstein, Zeyu Jin. (2019). Perceptually-motivated environment-specific speech enhancement. IEEE SigPort. http://sigport.org/4272
Jiaqi Su, Adam Finkelstein, Zeyu Jin, 2019. Perceptually-motivated environment-specific speech enhancement. Available at: http://sigport.org/4272.
Jiaqi Su, Adam Finkelstein, Zeyu Jin. (2019). "Perceptually-motivated environment-specific speech enhancement." Web.
1. Jiaqi Su, Adam Finkelstein, Zeyu Jin. Perceptually-motivated environment-specific speech enhancement [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4272

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