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Audio and Acoustic Signal Processing

Optimal Transport between Copulas for Clustering Time Series

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19 March 2016 - 2:15am
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optimal-copula-transport.pdf

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[1] , "Optimal Transport between Copulas for Clustering Time Series", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/782. Accessed: Dec. 12, 2018.
@article{782-16,
url = {http://sigport.org/782},
author = { },
publisher = {IEEE SigPort},
title = {Optimal Transport between Copulas for Clustering Time Series},
year = {2016} }
TY - EJOUR
T1 - Optimal Transport between Copulas for Clustering Time Series
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/782
ER -
. (2016). Optimal Transport between Copulas for Clustering Time Series. IEEE SigPort. http://sigport.org/782
, 2016. Optimal Transport between Copulas for Clustering Time Series. Available at: http://sigport.org/782.
. (2016). "Optimal Transport between Copulas for Clustering Time Series." Web.
1. . Optimal Transport between Copulas for Clustering Time Series [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/782

Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems


Direction of arrival (DoA) estimation of high-resolution beams is critical for cell search and maintaining communication in millimeter wave (mmWave) cellular systems. All-digital solutions for DoA estimation, however desirable for their flexibility and performance, are impractical because of their use of high-speed, power hungry Analog-Digital Converters (ADCs) at each antenna element. In this paper we take a novel approach to formulate a fully digital DoA estimation solution.

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Authors:
Ahmed Tewfik
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5 September 2018 - 2:15pm
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ICASSP 2016 presentation ECE Final.pdf

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[1] Ahmed Tewfik, "Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/767. Accessed: Dec. 12, 2018.
@article{767-16,
url = {http://sigport.org/767},
author = {Ahmed Tewfik },
publisher = {IEEE SigPort},
title = {Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems},
year = {2016} }
TY - EJOUR
T1 - Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems
AU - Ahmed Tewfik
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/767
ER -
Ahmed Tewfik. (2016). Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems. IEEE SigPort. http://sigport.org/767
Ahmed Tewfik, 2016. Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems. Available at: http://sigport.org/767.
Ahmed Tewfik. (2016). "Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems." Web.
1. Ahmed Tewfik. Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/767

TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS


Sound zones are two or more regions within a listening space where listeners are provided with personal audio. Acoustic contrast control (ACC) is a sound zoning method that maximizes the average squared sound pressure in one zone constrained to constant pressure in other zones. State-of-the-art time domain broadband acoustic contrast control (BACC) methods are designed for anechoic environments. These methods are not able to realize a flat frequency response in a limited frequency range within a reverberant environment.

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Authors:
Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen
Submitted On:
18 March 2016 - 11:35am
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Schellekens 2016 - POSTER TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS.pdf

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[1] Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen, "TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/766. Accessed: Dec. 12, 2018.
@article{766-16,
url = {http://sigport.org/766},
author = {Daan H. M. Schellekens; Martin B. Møller; and Martin Olsen },
publisher = {IEEE SigPort},
title = {TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS},
year = {2016} }
TY - EJOUR
T1 - TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS
AU - Daan H. M. Schellekens; Martin B. Møller; and Martin Olsen
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/766
ER -
Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen. (2016). TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS. IEEE SigPort. http://sigport.org/766
Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen, 2016. TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS. Available at: http://sigport.org/766.
Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen. (2016). "TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS." Web.
1. Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen. TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/766

A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER


In complex environments, the presence or absence of multipath signals not only depends on the relative motion between the GNSS receiver and navigation satellites, but also on the environment where the receiver is located. Thus it is difficult to use a specific propagation model to accurately capture the dynamics of multipath signal parameters when the GNSS receiver is moving in urban canyons or other severe obstructions. This paper introduces a statistical model for the line-of-sight and multipath signals received by a GNSS receiver.

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Authors:
Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret
Submitted On:
17 March 2016 - 12:01am
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ICASSP_P.A_B1.pdf

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[1] Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret, "A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/729. Accessed: Dec. 12, 2018.
@article{729-16,
url = {http://sigport.org/729},
author = {Cheng Cheng; Quan Pan; Vincent Calmettes; Jean-Yves Tourneret },
publisher = {IEEE SigPort},
title = {A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER},
year = {2016} }
TY - EJOUR
T1 - A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER
AU - Cheng Cheng; Quan Pan; Vincent Calmettes; Jean-Yves Tourneret
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/729
ER -
Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret. (2016). A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER. IEEE SigPort. http://sigport.org/729
Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret, 2016. A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER. Available at: http://sigport.org/729.
Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret. (2016). "A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER." Web.
1. Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret. A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/729

Fast and Easy Crowdsourced Perceptual Audio Evaluation


Crowdsourced Audio Quality Evaluation

Automated objective methods of audio evaluation are fast, cheap, and require little effort by the investigator. However, objective evaluation methods do not exist for the output of all audio processing algorithms, often have output that correlates poorly with human quality assessments, and require ground truth data in their calculation. Subjective human ratings of audio quality are the gold standard for many tasks, but are expensive, slow, and require a great deal of effort to recruit subjects and run listening tests.

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Authors:
Mark Cartwright, Bryan Pardo, Gautham J. Mysore, Matt Hoffman
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16 March 2016 - 9:44pm
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icassp_poster_print.pdf

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[1] Mark Cartwright, Bryan Pardo, Gautham J. Mysore, Matt Hoffman, "Fast and Easy Crowdsourced Perceptual Audio Evaluation", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/727. Accessed: Dec. 12, 2018.
@article{727-16,
url = {http://sigport.org/727},
author = {Mark Cartwright; Bryan Pardo; Gautham J. Mysore; Matt Hoffman },
publisher = {IEEE SigPort},
title = {Fast and Easy Crowdsourced Perceptual Audio Evaluation},
year = {2016} }
TY - EJOUR
T1 - Fast and Easy Crowdsourced Perceptual Audio Evaluation
AU - Mark Cartwright; Bryan Pardo; Gautham J. Mysore; Matt Hoffman
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/727
ER -
Mark Cartwright, Bryan Pardo, Gautham J. Mysore, Matt Hoffman. (2016). Fast and Easy Crowdsourced Perceptual Audio Evaluation. IEEE SigPort. http://sigport.org/727
Mark Cartwright, Bryan Pardo, Gautham J. Mysore, Matt Hoffman, 2016. Fast and Easy Crowdsourced Perceptual Audio Evaluation. Available at: http://sigport.org/727.
Mark Cartwright, Bryan Pardo, Gautham J. Mysore, Matt Hoffman. (2016). "Fast and Easy Crowdsourced Perceptual Audio Evaluation." Web.
1. Mark Cartwright, Bryan Pardo, Gautham J. Mysore, Matt Hoffman. Fast and Easy Crowdsourced Perceptual Audio Evaluation [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/727

GEOMETRICAL ROOM GEOMETRY ESTIMATION FROM ROOM IMPULSE RESPONSES

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Authors:
Xiaojun Qiu, Eva Cheng, Ian Burnett
Submitted On:
15 March 2016 - 11:47pm
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GEOMETRICAL ROOM GEOMETRY ESTIMATION FROM ROOM IMPULSE RESPONSES_POSTER.pdf

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[1] Xiaojun Qiu, Eva Cheng, Ian Burnett, "GEOMETRICAL ROOM GEOMETRY ESTIMATION FROM ROOM IMPULSE RESPONSES ", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/702. Accessed: Dec. 12, 2018.
@article{702-16,
url = {http://sigport.org/702},
author = {Xiaojun Qiu; Eva Cheng; Ian Burnett },
publisher = {IEEE SigPort},
title = {GEOMETRICAL ROOM GEOMETRY ESTIMATION FROM ROOM IMPULSE RESPONSES },
year = {2016} }
TY - EJOUR
T1 - GEOMETRICAL ROOM GEOMETRY ESTIMATION FROM ROOM IMPULSE RESPONSES
AU - Xiaojun Qiu; Eva Cheng; Ian Burnett
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/702
ER -
Xiaojun Qiu, Eva Cheng, Ian Burnett. (2016). GEOMETRICAL ROOM GEOMETRY ESTIMATION FROM ROOM IMPULSE RESPONSES . IEEE SigPort. http://sigport.org/702
Xiaojun Qiu, Eva Cheng, Ian Burnett, 2016. GEOMETRICAL ROOM GEOMETRY ESTIMATION FROM ROOM IMPULSE RESPONSES . Available at: http://sigport.org/702.
Xiaojun Qiu, Eva Cheng, Ian Burnett. (2016). "GEOMETRICAL ROOM GEOMETRY ESTIMATION FROM ROOM IMPULSE RESPONSES ." Web.
1. Xiaojun Qiu, Eva Cheng, Ian Burnett. GEOMETRICAL ROOM GEOMETRY ESTIMATION FROM ROOM IMPULSE RESPONSES [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/702

Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification


This paper presents a feature learning approach for speaker identification that is based on nonnegative matrix factorisation. Recent studies have shown that with such models, the dictionary atoms can represent well the speaker identity. The approaches proposed so far focused only on speaker variability and not on session variability. However, this later point is a crucial aspect in the success of the I-vector approach that is now the state-of-the-art in speaker identification.

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Authors:
Romain Serizel, Slim Essid, Gaël Richard
Submitted On:
14 March 2016 - 6:42am
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poster_rserizel_ICASSP2016_A4.pdf

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[1] Romain Serizel, Slim Essid, Gaël Richard, "Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/669. Accessed: Dec. 12, 2018.
@article{669-16,
url = {http://sigport.org/669},
author = {Romain Serizel; Slim Essid; Gaël Richard },
publisher = {IEEE SigPort},
title = {Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification},
year = {2016} }
TY - EJOUR
T1 - Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification
AU - Romain Serizel; Slim Essid; Gaël Richard
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/669
ER -
Romain Serizel, Slim Essid, Gaël Richard. (2016). Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification. IEEE SigPort. http://sigport.org/669
Romain Serizel, Slim Essid, Gaël Richard, 2016. Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification. Available at: http://sigport.org/669.
Romain Serizel, Slim Essid, Gaël Richard. (2016). "Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification." Web.
1. Romain Serizel, Slim Essid, Gaël Richard. Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/669

Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis slides)


Spatial audio reproduction is essential to create a natural listening experience for digital media. Majority of the legacy audio contents are in channel-based format, which is very particular on the desired playback system. Considering the diversity of today’s playback systems, the quality of reproduced sound scenes degrades significantly when mismatches between the audio content and the playback system occur.

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2 March 2016 - 4:28am
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ThesisPPT_JianjunHE_2016_SpatialAudioReproductionUsingPrimaryAmbientExtraction.pdf

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[1] , "Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis slides)", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/608. Accessed: Dec. 12, 2018.
@article{608-16,
url = {http://sigport.org/608},
author = { },
publisher = {IEEE SigPort},
title = {Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis slides)},
year = {2016} }
TY - EJOUR
T1 - Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis slides)
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/608
ER -
. (2016). Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis slides). IEEE SigPort. http://sigport.org/608
, 2016. Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis slides). Available at: http://sigport.org/608.
. (2016). "Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis slides)." Web.
1. . Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis slides) [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/608

Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis)


Spatial audio reproduction is essential to create a natural listening experience for digital media. Majority of the legacy audio contents are in channel-based format, which is very particular on the desired playback system. Considering the diversity of today’s playback systems, the quality of reproduced sound scenes degrades significantly when mismatches between the audio content and the playback system occur.

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Submitted On:
2 March 2016 - 3:54am
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Thesis_JianjunHE_2016_SpatialAudioReproductionUsingPrimaryAmbientExtraction.pdf

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[1] , "Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis)", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/607. Accessed: Dec. 12, 2018.
@article{607-16,
url = {http://sigport.org/607},
author = { },
publisher = {IEEE SigPort},
title = {Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis)},
year = {2016} }
TY - EJOUR
T1 - Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis)
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/607
ER -
. (2016). Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis). IEEE SigPort. http://sigport.org/607
, 2016. Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis). Available at: http://sigport.org/607.
. (2016). "Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis)." Web.
1. . Spatial Audio Reproduction using Primary Ambient Extraction (PhD thesis) [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/607

Fast continuous HRTF acquisition with unconstrained movements of human subjects


Head related transfer function (HRTF) is widely used in 3D audio reproduction, especially over headphones. Conventionally, HRTF database is acquired at discrete directions and the acquisition process is time-consuming. Recent works have been proposed to improve HRTF acquisition efficiency via continuous acquisition. However, these HRTF acquisition techniques still require subject to sit still (with limited head movement) in a rotating chair. In this paper, we further relax the head movement constraint during acquisition by using a head tracker.

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Authors:
Rishabh Ranjan
Submitted On:
15 March 2016 - 2:56am
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ICASSP16_JJ_Rish_rev_final - RG version.pdf

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[1] Rishabh Ranjan, "Fast continuous HRTF acquisition with unconstrained movements of human subjects", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/575. Accessed: Dec. 12, 2018.
@article{575-16,
url = {http://sigport.org/575},
author = {Rishabh Ranjan },
publisher = {IEEE SigPort},
title = {Fast continuous HRTF acquisition with unconstrained movements of human subjects},
year = {2016} }
TY - EJOUR
T1 - Fast continuous HRTF acquisition with unconstrained movements of human subjects
AU - Rishabh Ranjan
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/575
ER -
Rishabh Ranjan. (2016). Fast continuous HRTF acquisition with unconstrained movements of human subjects. IEEE SigPort. http://sigport.org/575
Rishabh Ranjan, 2016. Fast continuous HRTF acquisition with unconstrained movements of human subjects. Available at: http://sigport.org/575.
Rishabh Ranjan. (2016). "Fast continuous HRTF acquisition with unconstrained movements of human subjects." Web.
1. Rishabh Ranjan. Fast continuous HRTF acquisition with unconstrained movements of human subjects [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/575

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