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Audio and Acoustic Signal Processing

Application of Compressed Sensing to Wideband Spectrum Sensing in Cognitive Radio Networks

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Authors:
Michael M. Abdel-Sayed, Ahmed Khattab, Mohamed F. Abu-Elyazeed
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28 February 2017 - 2:59am
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ICASSP_Poster_4338.pdf

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[1] Michael M. Abdel-Sayed, Ahmed Khattab, Mohamed F. Abu-Elyazeed, "Application of Compressed Sensing to Wideband Spectrum Sensing in Cognitive Radio Networks", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1487. Accessed: Dec. 15, 2017.
@article{1487-17,
url = {http://sigport.org/1487},
author = {Michael M. Abdel-Sayed; Ahmed Khattab; Mohamed F. Abu-Elyazeed },
publisher = {IEEE SigPort},
title = {Application of Compressed Sensing to Wideband Spectrum Sensing in Cognitive Radio Networks},
year = {2017} }
TY - EJOUR
T1 - Application of Compressed Sensing to Wideband Spectrum Sensing in Cognitive Radio Networks
AU - Michael M. Abdel-Sayed; Ahmed Khattab; Mohamed F. Abu-Elyazeed
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1487
ER -
Michael M. Abdel-Sayed, Ahmed Khattab, Mohamed F. Abu-Elyazeed. (2017). Application of Compressed Sensing to Wideband Spectrum Sensing in Cognitive Radio Networks. IEEE SigPort. http://sigport.org/1487
Michael M. Abdel-Sayed, Ahmed Khattab, Mohamed F. Abu-Elyazeed, 2017. Application of Compressed Sensing to Wideband Spectrum Sensing in Cognitive Radio Networks. Available at: http://sigport.org/1487.
Michael M. Abdel-Sayed, Ahmed Khattab, Mohamed F. Abu-Elyazeed. (2017). "Application of Compressed Sensing to Wideband Spectrum Sensing in Cognitive Radio Networks." Web.
1. Michael M. Abdel-Sayed, Ahmed Khattab, Mohamed F. Abu-Elyazeed. Application of Compressed Sensing to Wideband Spectrum Sensing in Cognitive Radio Networks [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1487

FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS


Speaker diarization in noisy conditions is addressed in this paper. The regression-based DNN is first adopted to map the noisy acoustic features to the clean features, and then consensus clustering of the original and mapped features is used to fuse the diarization results. The experiments are conducted on the IFLY-DIAR-II database, which is a Chinese talk show database with various noise types, such as music, applause and laughter. Compared to the baseline system using PLP features, a 21.26% relative DER improvement can be achieved using the proposed algorithm.

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Authors:
Weixin Zhu, Wu Guo, Guoping Hu
Submitted On:
11 March 2017 - 8:49pm
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poster_wxzhu_v2.pptx

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[1] Weixin Zhu, Wu Guo, Guoping Hu, "FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1460. Accessed: Dec. 15, 2017.
@article{1460-17,
url = {http://sigport.org/1460},
author = {Weixin Zhu; Wu Guo; Guoping Hu },
publisher = {IEEE SigPort},
title = {FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS},
year = {2017} }
TY - EJOUR
T1 - FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS
AU - Weixin Zhu; Wu Guo; Guoping Hu
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1460
ER -
Weixin Zhu, Wu Guo, Guoping Hu. (2017). FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS. IEEE SigPort. http://sigport.org/1460
Weixin Zhu, Wu Guo, Guoping Hu, 2017. FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS. Available at: http://sigport.org/1460.
Weixin Zhu, Wu Guo, Guoping Hu. (2017). "FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS." Web.
1. Weixin Zhu, Wu Guo, Guoping Hu. FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1460

FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS


Speaker diarization in noisy conditions is addressed in this paper. The regression-based DNN is first adopted to map the noisy acoustic features to the clean features, and then consensus clustering of the original and mapped features is used to fuse the diarization results. The experiments are conducted on the IFLY-DIAR-II database, which is a Chinese talk show database with various noise types, such as music, applause and laughter. Compared to the baseline system using PLP features, a 21.26% relative DER improvement can be achieved using the proposed algorithm.

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Authors:
Weixin Zhu, Wu Guo, Guoping Hu
Submitted On:
27 February 2017 - 8:37pm
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poster_wxzhu_v2.pptx

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[1] Weixin Zhu, Wu Guo, Guoping Hu, "FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1459. Accessed: Dec. 15, 2017.
@article{1459-17,
url = {http://sigport.org/1459},
author = {Weixin Zhu; Wu Guo; Guoping Hu },
publisher = {IEEE SigPort},
title = {FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS},
year = {2017} }
TY - EJOUR
T1 - FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS
AU - Weixin Zhu; Wu Guo; Guoping Hu
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1459
ER -
Weixin Zhu, Wu Guo, Guoping Hu. (2017). FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS. IEEE SigPort. http://sigport.org/1459
Weixin Zhu, Wu Guo, Guoping Hu, 2017. FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS. Available at: http://sigport.org/1459.
Weixin Zhu, Wu Guo, Guoping Hu. (2017). "FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS." Web.
1. Weixin Zhu, Wu Guo, Guoping Hu. FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1459

Discovering Sound Concepts and Acoustic Relations in Text


In this paper we describe approaches for discovering acoustic concepts and relations in text. The first major goal is to be able to identify text phrases which contain a notion of audibility and can be termed as a sound or an acoustic concept. We also propose a method to define an acoustic scene through a set of sound concepts. We use pattern matching and parts of speech tags to generate sound concepts from large scale text corpora. We use dependency parsing

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Authors:
Bhiksha Raj, Ndapandula Nakashole
Submitted On:
27 February 2017 - 8:22pm
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anurag_icassp17.pdf

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[1] Bhiksha Raj, Ndapandula Nakashole, "Discovering Sound Concepts and Acoustic Relations in Text", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1455. Accessed: Dec. 15, 2017.
@article{1455-17,
url = {http://sigport.org/1455},
author = {Bhiksha Raj; Ndapandula Nakashole },
publisher = {IEEE SigPort},
title = {Discovering Sound Concepts and Acoustic Relations in Text},
year = {2017} }
TY - EJOUR
T1 - Discovering Sound Concepts and Acoustic Relations in Text
AU - Bhiksha Raj; Ndapandula Nakashole
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1455
ER -
Bhiksha Raj, Ndapandula Nakashole. (2017). Discovering Sound Concepts and Acoustic Relations in Text. IEEE SigPort. http://sigport.org/1455
Bhiksha Raj, Ndapandula Nakashole, 2017. Discovering Sound Concepts and Acoustic Relations in Text. Available at: http://sigport.org/1455.
Bhiksha Raj, Ndapandula Nakashole. (2017). "Discovering Sound Concepts and Acoustic Relations in Text." Web.
1. Bhiksha Raj, Ndapandula Nakashole. Discovering Sound Concepts and Acoustic Relations in Text [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1455

First Investigation of Universal Speech Attributes for Speaker Verification

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Submitted On:
27 February 2017 - 8:54pm
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First Investigation of Universal Speech Attributes for Speaker Verification.pdf

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[1] , "First Investigation of Universal Speech Attributes for Speaker Verification", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1440. Accessed: Dec. 15, 2017.
@article{1440-16,
url = {http://sigport.org/1440},
author = { },
publisher = {IEEE SigPort},
title = {First Investigation of Universal Speech Attributes for Speaker Verification},
year = {2016} }
TY - EJOUR
T1 - First Investigation of Universal Speech Attributes for Speaker Verification
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1440
ER -
. (2016). First Investigation of Universal Speech Attributes for Speaker Verification. IEEE SigPort. http://sigport.org/1440
, 2016. First Investigation of Universal Speech Attributes for Speaker Verification. Available at: http://sigport.org/1440.
. (2016). "First Investigation of Universal Speech Attributes for Speaker Verification." Web.
1. . First Investigation of Universal Speech Attributes for Speaker Verification [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1440

Graph-Based Active Learning: A New Look at Expected Error Minimization


In graph-based active learning, algorithms based on expected error minimization (EEM) have been popular and yield good empirical performance.
The exact computation of EEM optimally balances exploration and exploitation.
In practice, however, EEM-based algorithms employ various approximations due to the computational hardness of exact EEM.
This can result in a lack of either exploration or exploitation, which can negatively impact the effectiveness of active learning.

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Authors:
Kwang-Sung Jun, Robert Nowak
Submitted On:
8 December 2016 - 4:48pm
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graphal-globalsip-1208.pdf

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[1] Kwang-Sung Jun, Robert Nowak, "Graph-Based Active Learning: A New Look at Expected Error Minimization", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1427. Accessed: Dec. 15, 2017.
@article{1427-16,
url = {http://sigport.org/1427},
author = {Kwang-Sung Jun; Robert Nowak },
publisher = {IEEE SigPort},
title = {Graph-Based Active Learning: A New Look at Expected Error Minimization},
year = {2016} }
TY - EJOUR
T1 - Graph-Based Active Learning: A New Look at Expected Error Minimization
AU - Kwang-Sung Jun; Robert Nowak
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1427
ER -
Kwang-Sung Jun, Robert Nowak. (2016). Graph-Based Active Learning: A New Look at Expected Error Minimization. IEEE SigPort. http://sigport.org/1427
Kwang-Sung Jun, Robert Nowak, 2016. Graph-Based Active Learning: A New Look at Expected Error Minimization. Available at: http://sigport.org/1427.
Kwang-Sung Jun, Robert Nowak. (2016). "Graph-Based Active Learning: A New Look at Expected Error Minimization." Web.
1. Kwang-Sung Jun, Robert Nowak. Graph-Based Active Learning: A New Look at Expected Error Minimization [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1427

Cyber-Resilient Control of Inverter Based Microgrids


This paper investigates cyber-attacks compromising the data integrity of 100% inverter-interfaced islanded microgrids featuring an energy storage system (ESS), a wind turbine generator (WTG), a photovoltaic system (PV) and controllable loads. The ESS operates as the isochronous generator, responsible for forming the microgrid voltage and frequency, whereas the WTG and PV distributed energy resources (DER) operate in maximum-power-point-tracking (MPPT) mode.

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Authors:
Martine Chlela, Diego Mascarella, Geza Joos, Marthe Kassouf
Submitted On:
7 December 2016 - 3:56am
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GlobalSIP_MartineChlela_8Dec2016.pdf

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[1] Martine Chlela, Diego Mascarella, Geza Joos, Marthe Kassouf, "Cyber-Resilient Control of Inverter Based Microgrids", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1402. Accessed: Dec. 15, 2017.
@article{1402-16,
url = {http://sigport.org/1402},
author = {Martine Chlela; Diego Mascarella; Geza Joos; Marthe Kassouf },
publisher = {IEEE SigPort},
title = {Cyber-Resilient Control of Inverter Based Microgrids},
year = {2016} }
TY - EJOUR
T1 - Cyber-Resilient Control of Inverter Based Microgrids
AU - Martine Chlela; Diego Mascarella; Geza Joos; Marthe Kassouf
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1402
ER -
Martine Chlela, Diego Mascarella, Geza Joos, Marthe Kassouf. (2016). Cyber-Resilient Control of Inverter Based Microgrids. IEEE SigPort. http://sigport.org/1402
Martine Chlela, Diego Mascarella, Geza Joos, Marthe Kassouf, 2016. Cyber-Resilient Control of Inverter Based Microgrids. Available at: http://sigport.org/1402.
Martine Chlela, Diego Mascarella, Geza Joos, Marthe Kassouf. (2016). "Cyber-Resilient Control of Inverter Based Microgrids." Web.
1. Martine Chlela, Diego Mascarella, Geza Joos, Marthe Kassouf. Cyber-Resilient Control of Inverter Based Microgrids [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1402

On the Sum of Gamma-Gamma Variates with Application to the Fast Outage Probability Evaluation Over Fading Channels


The Gamma-Gamma distribution has recently emerged in a number of applications ranging from modeling scattering and reverberation in sonar and radar systems to modeling atmospheric turbulence in wireless optical channels. In this respect, assessing the outage probability achieved by some diversity techniques over this kind of channels is of major practical importance. In many circumstances, this is intimately related to the difficult question of analyzing the statistics of a sum of Gamma-Gamma random variables. Answering this question is not a simple matter.

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Authors:
Chaouki ben Issaid, Nadhir ben Rached, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone
Submitted On:
7 December 2016 - 1:39am
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Presentation session at GlobalSip'16 conference

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[1] Chaouki ben Issaid, Nadhir ben Rached, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone, "On the Sum of Gamma-Gamma Variates with Application to the Fast Outage Probability Evaluation Over Fading Channels", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1397. Accessed: Dec. 15, 2017.
@article{1397-16,
url = {http://sigport.org/1397},
author = {Chaouki ben Issaid; Nadhir ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raul Tempone },
publisher = {IEEE SigPort},
title = {On the Sum of Gamma-Gamma Variates with Application to the Fast Outage Probability Evaluation Over Fading Channels},
year = {2016} }
TY - EJOUR
T1 - On the Sum of Gamma-Gamma Variates with Application to the Fast Outage Probability Evaluation Over Fading Channels
AU - Chaouki ben Issaid; Nadhir ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raul Tempone
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1397
ER -
Chaouki ben Issaid, Nadhir ben Rached, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone. (2016). On the Sum of Gamma-Gamma Variates with Application to the Fast Outage Probability Evaluation Over Fading Channels. IEEE SigPort. http://sigport.org/1397
Chaouki ben Issaid, Nadhir ben Rached, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone, 2016. On the Sum of Gamma-Gamma Variates with Application to the Fast Outage Probability Evaluation Over Fading Channels. Available at: http://sigport.org/1397.
Chaouki ben Issaid, Nadhir ben Rached, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone. (2016). "On the Sum of Gamma-Gamma Variates with Application to the Fast Outage Probability Evaluation Over Fading Channels." Web.
1. Chaouki ben Issaid, Nadhir ben Rached, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone. On the Sum of Gamma-Gamma Variates with Application to the Fast Outage Probability Evaluation Over Fading Channels [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1397

Hidden Markov Model-based Gesture Recognition with FMCW Radar


In this paper we present experimental results for the development
of a gesture recognition system using a 77 GHz FMCW
radar system. We measure the micro-Doppler signature of a
gesturing hand to construct an energy distribution in velocity
space over time. A gesturing hand is fundamentally a dynamical
system with unobservable “state” (i.e. the name of the gesture)
which determines the sequence of associated observable
velocity-energy distributions, so a Hidden Markov Model is
used to for gesture recognition, a more tailored approach than

Paper Details

Authors:
Greg Malysa, Dan Wang, Lorin Netsch, Murtaza Ali
Submitted On:
6 December 2016 - 12:06pm
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20161208_globalsip_1330.pdf

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[1] Greg Malysa, Dan Wang, Lorin Netsch, Murtaza Ali, "Hidden Markov Model-based Gesture Recognition with FMCW Radar", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1366. Accessed: Dec. 15, 2017.
@article{1366-16,
url = {http://sigport.org/1366},
author = {Greg Malysa; Dan Wang; Lorin Netsch; Murtaza Ali },
publisher = {IEEE SigPort},
title = {Hidden Markov Model-based Gesture Recognition with FMCW Radar},
year = {2016} }
TY - EJOUR
T1 - Hidden Markov Model-based Gesture Recognition with FMCW Radar
AU - Greg Malysa; Dan Wang; Lorin Netsch; Murtaza Ali
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1366
ER -
Greg Malysa, Dan Wang, Lorin Netsch, Murtaza Ali. (2016). Hidden Markov Model-based Gesture Recognition with FMCW Radar. IEEE SigPort. http://sigport.org/1366
Greg Malysa, Dan Wang, Lorin Netsch, Murtaza Ali, 2016. Hidden Markov Model-based Gesture Recognition with FMCW Radar. Available at: http://sigport.org/1366.
Greg Malysa, Dan Wang, Lorin Netsch, Murtaza Ali. (2016). "Hidden Markov Model-based Gesture Recognition with FMCW Radar." Web.
1. Greg Malysa, Dan Wang, Lorin Netsch, Murtaza Ali. Hidden Markov Model-based Gesture Recognition with FMCW Radar [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1366

CONSENSUS AND MULTIPLEX APPROACH FOR COMMUNITY DETECTION IN ATTRIBUTED NETWORKS


An attributed network has nodes with attribute vectors. For community detection on an attributed network, we exploit the attributes to disentangle the potentially mixed topological structures. We describe a multiplex representation scheme for overlapping community detection in attributed networks and find consensus communities across layers of different connection structures. We test the method on Twitter, Facebook and Google+ networks and the results are comparable to state of the art. We show that the use of attribute vectors improves detection accuracy.

poster.pdf

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Authors:
Han Wang
Submitted On:
5 December 2016 - 4:23pm
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poster.pdf

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[1] Han Wang, "CONSENSUS AND MULTIPLEX APPROACH FOR COMMUNITY DETECTION IN ATTRIBUTED NETWORKS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1350. Accessed: Dec. 15, 2017.
@article{1350-16,
url = {http://sigport.org/1350},
author = {Han Wang },
publisher = {IEEE SigPort},
title = {CONSENSUS AND MULTIPLEX APPROACH FOR COMMUNITY DETECTION IN ATTRIBUTED NETWORKS},
year = {2016} }
TY - EJOUR
T1 - CONSENSUS AND MULTIPLEX APPROACH FOR COMMUNITY DETECTION IN ATTRIBUTED NETWORKS
AU - Han Wang
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1350
ER -
Han Wang. (2016). CONSENSUS AND MULTIPLEX APPROACH FOR COMMUNITY DETECTION IN ATTRIBUTED NETWORKS. IEEE SigPort. http://sigport.org/1350
Han Wang, 2016. CONSENSUS AND MULTIPLEX APPROACH FOR COMMUNITY DETECTION IN ATTRIBUTED NETWORKS. Available at: http://sigport.org/1350.
Han Wang. (2016). "CONSENSUS AND MULTIPLEX APPROACH FOR COMMUNITY DETECTION IN ATTRIBUTED NETWORKS." Web.
1. Han Wang. CONSENSUS AND MULTIPLEX APPROACH FOR COMMUNITY DETECTION IN ATTRIBUTED NETWORKS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1350

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