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Audio and Acoustic Signal Processing

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: Oct. 19, 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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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: Oct. 19, 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
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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: Oct. 19, 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: Oct. 19, 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
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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: Oct. 19, 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

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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: Oct. 19, 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.

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Authors:
Han Wang
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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: Oct. 19, 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

Sparse Representation of Human Auditory System


In this paper, three sparse models for the human auditory system are proposed. Biological studies shows that the haircells in the inner ear of the auditory system generate sparse codes from the output of cochlea filterbank. Here, we employ two mathematical sparse representation methods, which are Orthogonal Matching Pursuit (OMP) and K Singular Value Decomposition (K-SVD), in three different strategies for sparse representation of the output of cochlea filterbank that is modeled by a Gammatone filterbank.

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Authors:
Mohammad Edalatian,, Ali Asghar Soltani, Neda Faraji
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4 December 2016 - 1:33pm
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Sparse representation of Human Auditory System

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[1] Mohammad Edalatian,, Ali Asghar Soltani, Neda Faraji , "Sparse Representation of Human Auditory System", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1339. Accessed: Oct. 19, 2017.
@article{1339-16,
url = {http://sigport.org/1339},
author = {Mohammad Edalatian;; Ali Asghar Soltani; Neda Faraji },
publisher = {IEEE SigPort},
title = {Sparse Representation of Human Auditory System},
year = {2016} }
TY - EJOUR
T1 - Sparse Representation of Human Auditory System
AU - Mohammad Edalatian;; Ali Asghar Soltani; Neda Faraji
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1339
ER -
Mohammad Edalatian,, Ali Asghar Soltani, Neda Faraji . (2016). Sparse Representation of Human Auditory System. IEEE SigPort. http://sigport.org/1339
Mohammad Edalatian,, Ali Asghar Soltani, Neda Faraji , 2016. Sparse Representation of Human Auditory System. Available at: http://sigport.org/1339.
Mohammad Edalatian,, Ali Asghar Soltani, Neda Faraji . (2016). "Sparse Representation of Human Auditory System." Web.
1. Mohammad Edalatian,, Ali Asghar Soltani, Neda Faraji . Sparse Representation of Human Auditory System [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1339

GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION


Modeling a location-unaware sensor network as a simplicial complex, where simplices correspond to cliques in the communication graph, has proven useful for solving a number of coverage problems under certain conditions using algebraic topology. Several approaches to finding a sparse cover for a fenced sensor network are considered, including calculating homology changes locally, strong collapsing, and Euler characteristic collapsing.

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2 December 2016 - 7:22pm
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Moore-GlobalSIP2016_pdf.pdf

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[1] , "GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1333. Accessed: Oct. 19, 2017.
@article{1333-16,
url = {http://sigport.org/1333},
author = { },
publisher = {IEEE SigPort},
title = {GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION},
year = {2016} }
TY - EJOUR
T1 - GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1333
ER -
. (2016). GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION. IEEE SigPort. http://sigport.org/1333
, 2016. GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION. Available at: http://sigport.org/1333.
. (2016). "GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION." Web.
1. . GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1333

Third dimension for measurement of multi user massive MIMO channels based on LTE advanced downlink


We characterize third-dimension (3D) of channel measurements based on two dimension channel model with fully synchronize

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Authors:
Saeid Aghaeinezhadfirouzja ,Hui Liu ,Bin XIA ,Qun Luo and Weibin Guo
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29 November 2016 - 3:07am
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poster.pdf

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Final GlobalSIP 08-10-2016.pdf

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[1] Saeid Aghaeinezhadfirouzja ,Hui Liu ,Bin XIA ,Qun Luo and Weibin Guo, "Third dimension for measurement of multi user massive MIMO channels based on LTE advanced downlink", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1317. Accessed: Oct. 19, 2017.
@article{1317-16,
url = {http://sigport.org/1317},
author = {Saeid Aghaeinezhadfirouzja ;Hui Liu ;Bin XIA ;Qun Luo and Weibin Guo },
publisher = {IEEE SigPort},
title = {Third dimension for measurement of multi user massive MIMO channels based on LTE advanced downlink},
year = {2016} }
TY - EJOUR
T1 - Third dimension for measurement of multi user massive MIMO channels based on LTE advanced downlink
AU - Saeid Aghaeinezhadfirouzja ;Hui Liu ;Bin XIA ;Qun Luo and Weibin Guo
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1317
ER -
Saeid Aghaeinezhadfirouzja ,Hui Liu ,Bin XIA ,Qun Luo and Weibin Guo. (2016). Third dimension for measurement of multi user massive MIMO channels based on LTE advanced downlink. IEEE SigPort. http://sigport.org/1317
Saeid Aghaeinezhadfirouzja ,Hui Liu ,Bin XIA ,Qun Luo and Weibin Guo, 2016. Third dimension for measurement of multi user massive MIMO channels based on LTE advanced downlink. Available at: http://sigport.org/1317.
Saeid Aghaeinezhadfirouzja ,Hui Liu ,Bin XIA ,Qun Luo and Weibin Guo. (2016). "Third dimension for measurement of multi user massive MIMO channels based on LTE advanced downlink." Web.
1. Saeid Aghaeinezhadfirouzja ,Hui Liu ,Bin XIA ,Qun Luo and Weibin Guo. Third dimension for measurement of multi user massive MIMO channels based on LTE advanced downlink [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1317

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