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Audio and Acoustic Signal Processing

IEEE SP Cup 2016 Project Report by Team "10Hertz": Exploring Power Signals for Location Forensics of Media Recordings


Electric Network Frequency is the frequency of power distribution networks in power grids that fluctuates about a nominal value with respect to the changing loads.Its ubiquitous nature has made notable contributions to forensic analysis that has substantiated its use as a significant tool in this area. In this paper we have proposed a technique to identify the power grid in which the ENF containing signal was recorded, without the assistance of concurrent power references.

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Authors:
Abhijith A., Abhinash V., Sreekiran A.R.,Tom Jose
Submitted On:
12 July 2016 - 10:53am
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10Hertz_Paper.pdf

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[1] Abhijith A., Abhinash V., Sreekiran A.R.,Tom Jose, "IEEE SP Cup 2016 Project Report by Team "10Hertz": Exploring Power Signals for Location Forensics of Media Recordings", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1132. Accessed: May. 25, 2017.
@article{1132-16,
url = {http://sigport.org/1132},
author = {Abhijith A.; Abhinash V.; Sreekiran A.R.;Tom Jose },
publisher = {IEEE SigPort},
title = {IEEE SP Cup 2016 Project Report by Team "10Hertz": Exploring Power Signals for Location Forensics of Media Recordings},
year = {2016} }
TY - EJOUR
T1 - IEEE SP Cup 2016 Project Report by Team "10Hertz": Exploring Power Signals for Location Forensics of Media Recordings
AU - Abhijith A.; Abhinash V.; Sreekiran A.R.;Tom Jose
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1132
ER -
Abhijith A., Abhinash V., Sreekiran A.R.,Tom Jose. (2016). IEEE SP Cup 2016 Project Report by Team "10Hertz": Exploring Power Signals for Location Forensics of Media Recordings. IEEE SigPort. http://sigport.org/1132
Abhijith A., Abhinash V., Sreekiran A.R.,Tom Jose, 2016. IEEE SP Cup 2016 Project Report by Team "10Hertz": Exploring Power Signals for Location Forensics of Media Recordings. Available at: http://sigport.org/1132.
Abhijith A., Abhinash V., Sreekiran A.R.,Tom Jose. (2016). "IEEE SP Cup 2016 Project Report by Team "10Hertz": Exploring Power Signals for Location Forensics of Media Recordings." Web.
1. Abhijith A., Abhinash V., Sreekiran A.R.,Tom Jose. IEEE SP Cup 2016 Project Report by Team "10Hertz": Exploring Power Signals for Location Forensics of Media Recordings [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1132

A HIGH PERFORMANCE BASEBAND INSTRUMENT


Testing complex digital signal processors (DSPs) requires a development platform with sufficient
signal bandwidth and system performance to fully exercise the DSP. Without a development plat-
form, verification of DSPs would be limited to monitoring test output signals for an indication of
performance and successful operation. In addition, a development platform with high-speed analog
input and output interfaces to the DSP system allows it to be used directly in many sophisticated

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Authors:
Jeremy Webb, Bevan Baas
Submitted On:
30 June 2016 - 2:14am
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jwwebb.sigport.6.29.2016.pdf

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[1] Jeremy Webb, Bevan Baas, "A HIGH PERFORMANCE BASEBAND INSTRUMENT", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1130. Accessed: May. 25, 2017.
@article{1130-16,
url = {http://sigport.org/1130},
author = {Jeremy Webb; Bevan Baas },
publisher = {IEEE SigPort},
title = {A HIGH PERFORMANCE BASEBAND INSTRUMENT},
year = {2016} }
TY - EJOUR
T1 - A HIGH PERFORMANCE BASEBAND INSTRUMENT
AU - Jeremy Webb; Bevan Baas
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1130
ER -
Jeremy Webb, Bevan Baas. (2016). A HIGH PERFORMANCE BASEBAND INSTRUMENT. IEEE SigPort. http://sigport.org/1130
Jeremy Webb, Bevan Baas, 2016. A HIGH PERFORMANCE BASEBAND INSTRUMENT. Available at: http://sigport.org/1130.
Jeremy Webb, Bevan Baas. (2016). "A HIGH PERFORMANCE BASEBAND INSTRUMENT." Web.
1. Jeremy Webb, Bevan Baas. A HIGH PERFORMANCE BASEBAND INSTRUMENT [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1130

ENF Based Grid Classification System: Identifying the Region of Origin of Digital Recordings by team "Fourier's Underlings"

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Authors:
Riyasat Ohib, Samin Yeasar Arnob, Riazul Arefin, Mohammed Muhtady Muhaisin, Tanzil Bin Hasan, MR Amin, Md. Taslim Reza
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14 July 2016 - 3:59pm
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Technical-Report-IEEESP-Cup-2016.pdf

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[1] Riyasat Ohib, Samin Yeasar Arnob, Riazul Arefin, Mohammed Muhtady Muhaisin, Tanzil Bin Hasan, MR Amin, Md. Taslim Reza, "ENF Based Grid Classification System: Identifying the Region of Origin of Digital Recordings by team "Fourier's Underlings"", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1127. Accessed: May. 25, 2017.
@article{1127-16,
url = {http://sigport.org/1127},
author = {Riyasat Ohib; Samin Yeasar Arnob; Riazul Arefin; Mohammed Muhtady Muhaisin; Tanzil Bin Hasan; MR Amin; Md. Taslim Reza },
publisher = {IEEE SigPort},
title = {ENF Based Grid Classification System: Identifying the Region of Origin of Digital Recordings by team "Fourier's Underlings"},
year = {2016} }
TY - EJOUR
T1 - ENF Based Grid Classification System: Identifying the Region of Origin of Digital Recordings by team "Fourier's Underlings"
AU - Riyasat Ohib; Samin Yeasar Arnob; Riazul Arefin; Mohammed Muhtady Muhaisin; Tanzil Bin Hasan; MR Amin; Md. Taslim Reza
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1127
ER -
Riyasat Ohib, Samin Yeasar Arnob, Riazul Arefin, Mohammed Muhtady Muhaisin, Tanzil Bin Hasan, MR Amin, Md. Taslim Reza. (2016). ENF Based Grid Classification System: Identifying the Region of Origin of Digital Recordings by team "Fourier's Underlings". IEEE SigPort. http://sigport.org/1127
Riyasat Ohib, Samin Yeasar Arnob, Riazul Arefin, Mohammed Muhtady Muhaisin, Tanzil Bin Hasan, MR Amin, Md. Taslim Reza, 2016. ENF Based Grid Classification System: Identifying the Region of Origin of Digital Recordings by team "Fourier's Underlings". Available at: http://sigport.org/1127.
Riyasat Ohib, Samin Yeasar Arnob, Riazul Arefin, Mohammed Muhtady Muhaisin, Tanzil Bin Hasan, MR Amin, Md. Taslim Reza. (2016). "ENF Based Grid Classification System: Identifying the Region of Origin of Digital Recordings by team "Fourier's Underlings"." Web.
1. Riyasat Ohib, Samin Yeasar Arnob, Riazul Arefin, Mohammed Muhtady Muhaisin, Tanzil Bin Hasan, MR Amin, Md. Taslim Reza. ENF Based Grid Classification System: Identifying the Region of Origin of Digital Recordings by team "Fourier's Underlings" [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1127

Finding Audio Geography using ENF


Electric Network Frequency(ENF) is a recently developed technique for the authentication of audio signals. ENF gets embedded in audio signals due to electromagnetic interferences from power lines and hence can be used as a measure to find the geographical location and time of recording. Given an audio signal, this paper presents a technique of finding the power grid the audio belongs to. Towards this, we first extract the ENF sinusoid using a very narrow bandwidth filter centered around the nominal frequency. The filter is designed using a frequency response masking approach.

Report.pdf

PDF icon Report.pdf (466 downloads)

Paper Details

Authors:
Prerna Singh, Abhinav Jadon, Ambuj Mehrish
Submitted On:
16 June 2016 - 1:57pm
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Report.pdf

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[1] Prerna Singh, Abhinav Jadon, Ambuj Mehrish, "Finding Audio Geography using ENF", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1124. Accessed: May. 25, 2017.
@article{1124-16,
url = {http://sigport.org/1124},
author = {Prerna Singh; Abhinav Jadon; Ambuj Mehrish },
publisher = {IEEE SigPort},
title = {Finding Audio Geography using ENF},
year = {2016} }
TY - EJOUR
T1 - Finding Audio Geography using ENF
AU - Prerna Singh; Abhinav Jadon; Ambuj Mehrish
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1124
ER -
Prerna Singh, Abhinav Jadon, Ambuj Mehrish. (2016). Finding Audio Geography using ENF. IEEE SigPort. http://sigport.org/1124
Prerna Singh, Abhinav Jadon, Ambuj Mehrish, 2016. Finding Audio Geography using ENF. Available at: http://sigport.org/1124.
Prerna Singh, Abhinav Jadon, Ambuj Mehrish. (2016). "Finding Audio Geography using ENF." Web.
1. Prerna Singh, Abhinav Jadon, Ambuj Mehrish. Finding Audio Geography using ENF [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1124

Exploring Power Signatures for Location Forensics of Media Recordings;SP Cup 2016 Project Report by team "The Zenith"


This report presents the results to the challenge of
”Exploring Power Signatures for Location Forensics of Media
Recordings” as apart of Signal Processing Cup 2016 by IEEE
Signal Processing Society. Here we examine different frequency
estimation and classification techniques to provide accurate ENF
estimates and classify these signals into the corresponding grid
of recording. In this report we propose methods of efficient
extraction of ENF signal using quadratic interpolation and
frequency tracking.The SVM and GMM classifiers used provided

sp_cup4.pdf

PDF icon sp_cup4.pdf (132 downloads)

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Authors:
Vineeth Warrier,Harigovind V K,Sreenshan M S,Noufal P
Submitted On:
24 August 2016 - 1:09am
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sp_cup4.pdf

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[1] Vineeth Warrier,Harigovind V K,Sreenshan M S,Noufal P, "Exploring Power Signatures for Location Forensics of Media Recordings;SP Cup 2016 Project Report by team "The Zenith"", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1121. Accessed: May. 25, 2017.
@article{1121-16,
url = {http://sigport.org/1121},
author = {Vineeth Warrier;Harigovind V K;Sreenshan M S;Noufal P },
publisher = {IEEE SigPort},
title = {Exploring Power Signatures for Location Forensics of Media Recordings;SP Cup 2016 Project Report by team "The Zenith"},
year = {2016} }
TY - EJOUR
T1 - Exploring Power Signatures for Location Forensics of Media Recordings;SP Cup 2016 Project Report by team "The Zenith"
AU - Vineeth Warrier;Harigovind V K;Sreenshan M S;Noufal P
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1121
ER -
Vineeth Warrier,Harigovind V K,Sreenshan M S,Noufal P. (2016). Exploring Power Signatures for Location Forensics of Media Recordings;SP Cup 2016 Project Report by team "The Zenith". IEEE SigPort. http://sigport.org/1121
Vineeth Warrier,Harigovind V K,Sreenshan M S,Noufal P, 2016. Exploring Power Signatures for Location Forensics of Media Recordings;SP Cup 2016 Project Report by team "The Zenith". Available at: http://sigport.org/1121.
Vineeth Warrier,Harigovind V K,Sreenshan M S,Noufal P. (2016). "Exploring Power Signatures for Location Forensics of Media Recordings;SP Cup 2016 Project Report by team "The Zenith"." Web.
1. Vineeth Warrier,Harigovind V K,Sreenshan M S,Noufal P. Exploring Power Signatures for Location Forensics of Media Recordings;SP Cup 2016 Project Report by team "The Zenith" [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1121

Report from UWEngineers for SigCup


Electrical network frequency (ENF) has been used as evidence for location forensic. To determine location, we need accurate ENF information from noisy media files, select features of the ENF signal and the classify it based on previous knowledge of different grids.

UWEngineer.pdf

PDF icon UWEngineer.pdf (111 downloads)

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Authors:
Qinghua Shen, Wei Zhang, Edrick Wong, Brady Kieffer, Xuemin (Sherman) Shen
Submitted On:
13 June 2016 - 8:39pm
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UWEngineer.pdf

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[1] Qinghua Shen, Wei Zhang, Edrick Wong, Brady Kieffer, Xuemin (Sherman) Shen, "Report from UWEngineers for SigCup ", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1117. Accessed: May. 25, 2017.
@article{1117-16,
url = {http://sigport.org/1117},
author = {Qinghua Shen; Wei Zhang; Edrick Wong; Brady Kieffer; Xuemin (Sherman) Shen },
publisher = {IEEE SigPort},
title = {Report from UWEngineers for SigCup },
year = {2016} }
TY - EJOUR
T1 - Report from UWEngineers for SigCup
AU - Qinghua Shen; Wei Zhang; Edrick Wong; Brady Kieffer; Xuemin (Sherman) Shen
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1117
ER -
Qinghua Shen, Wei Zhang, Edrick Wong, Brady Kieffer, Xuemin (Sherman) Shen. (2016). Report from UWEngineers for SigCup . IEEE SigPort. http://sigport.org/1117
Qinghua Shen, Wei Zhang, Edrick Wong, Brady Kieffer, Xuemin (Sherman) Shen, 2016. Report from UWEngineers for SigCup . Available at: http://sigport.org/1117.
Qinghua Shen, Wei Zhang, Edrick Wong, Brady Kieffer, Xuemin (Sherman) Shen. (2016). "Report from UWEngineers for SigCup ." Web.
1. Qinghua Shen, Wei Zhang, Edrick Wong, Brady Kieffer, Xuemin (Sherman) Shen. Report from UWEngineers for SigCup [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1117

Linearly Augmented Deep Neural Network


Deep neural networks (DNN) are a powerful tool for many large vocabulary continuous speech recognition (LVCSR) tasks. Training a very deep network is a challenging problem and pre-training techniques are needed in order to achieve the best results. In this paper, we propose a new type of network architecture, Linear Augmented Deep Neural Network (LA-DNN). This type of network augments each non-linear layer with a linear connection from layer input to layer output.

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Authors:
Pegah Ghahremani, Jasha Droppo, Michael L. Seltzer
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30 April 2016 - 7:54pm
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LinearlyAugmented-Icassp Presentation.pdf

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[1] Pegah Ghahremani, Jasha Droppo, Michael L. Seltzer, "Linearly Augmented Deep Neural Network", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1101. Accessed: May. 25, 2017.
@article{1101-16,
url = {http://sigport.org/1101},
author = {Pegah Ghahremani; Jasha Droppo; Michael L. Seltzer },
publisher = {IEEE SigPort},
title = {Linearly Augmented Deep Neural Network},
year = {2016} }
TY - EJOUR
T1 - Linearly Augmented Deep Neural Network
AU - Pegah Ghahremani; Jasha Droppo; Michael L. Seltzer
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1101
ER -
Pegah Ghahremani, Jasha Droppo, Michael L. Seltzer. (2016). Linearly Augmented Deep Neural Network. IEEE SigPort. http://sigport.org/1101
Pegah Ghahremani, Jasha Droppo, Michael L. Seltzer, 2016. Linearly Augmented Deep Neural Network. Available at: http://sigport.org/1101.
Pegah Ghahremani, Jasha Droppo, Michael L. Seltzer. (2016). "Linearly Augmented Deep Neural Network." Web.
1. Pegah Ghahremani, Jasha Droppo, Michael L. Seltzer. Linearly Augmented Deep Neural Network [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1101

Recurrent neural networks for polyphonic sound event detection in real life recordings


RECURRENT NEURAL NETWORKS FOR POLYPHONIC SOUND EVENT DETECTION IN REAL LIFE RECORDINGS

Slides from the presentation held at ICASSP 2016 for the paper: Recurrent neural networks for polyphonic sound event detection in real life recordings

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Authors:
Heikki Huttunen, Tuomas Virtanen
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4 April 2016 - 9:45am
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ICASSP_2016_slides.pdf

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[1] Heikki Huttunen, Tuomas Virtanen, "Recurrent neural networks for polyphonic sound event detection in real life recordings", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1082. Accessed: May. 25, 2017.
@article{1082-16,
url = {http://sigport.org/1082},
author = {Heikki Huttunen; Tuomas Virtanen },
publisher = {IEEE SigPort},
title = {Recurrent neural networks for polyphonic sound event detection in real life recordings},
year = {2016} }
TY - EJOUR
T1 - Recurrent neural networks for polyphonic sound event detection in real life recordings
AU - Heikki Huttunen; Tuomas Virtanen
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1082
ER -
Heikki Huttunen, Tuomas Virtanen. (2016). Recurrent neural networks for polyphonic sound event detection in real life recordings. IEEE SigPort. http://sigport.org/1082
Heikki Huttunen, Tuomas Virtanen, 2016. Recurrent neural networks for polyphonic sound event detection in real life recordings. Available at: http://sigport.org/1082.
Heikki Huttunen, Tuomas Virtanen. (2016). "Recurrent neural networks for polyphonic sound event detection in real life recordings." Web.
1. Heikki Huttunen, Tuomas Virtanen. Recurrent neural networks for polyphonic sound event detection in real life recordings [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1082

Hardware Implementation of FIR/IIR Digital Filters Using Integral Stochastic Computation

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Authors:
Francois Leduc-Primeau, Warren Gross
Submitted On:
23 March 2016 - 8:21pm
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ICASSP Pres.pdf

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[1] Francois Leduc-Primeau, Warren Gross, "Hardware Implementation of FIR/IIR Digital Filters Using Integral Stochastic Computation", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1010. Accessed: May. 25, 2017.
@article{1010-16,
url = {http://sigport.org/1010},
author = {Francois Leduc-Primeau; Warren Gross },
publisher = {IEEE SigPort},
title = {Hardware Implementation of FIR/IIR Digital Filters Using Integral Stochastic Computation},
year = {2016} }
TY - EJOUR
T1 - Hardware Implementation of FIR/IIR Digital Filters Using Integral Stochastic Computation
AU - Francois Leduc-Primeau; Warren Gross
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1010
ER -
Francois Leduc-Primeau, Warren Gross. (2016). Hardware Implementation of FIR/IIR Digital Filters Using Integral Stochastic Computation. IEEE SigPort. http://sigport.org/1010
Francois Leduc-Primeau, Warren Gross, 2016. Hardware Implementation of FIR/IIR Digital Filters Using Integral Stochastic Computation. Available at: http://sigport.org/1010.
Francois Leduc-Primeau, Warren Gross. (2016). "Hardware Implementation of FIR/IIR Digital Filters Using Integral Stochastic Computation." Web.
1. Francois Leduc-Primeau, Warren Gross. Hardware Implementation of FIR/IIR Digital Filters Using Integral Stochastic Computation [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1010

INVESTIGATION OF SPEAKER EMBEDDINGS FOR CROSS-SHOW SPEAKER DIARIZATION

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Authors:
Mickael Rouvier
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21 March 2016 - 9:02pm
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lif_poster_asru2015.pdf

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[1] Mickael Rouvier, "INVESTIGATION OF SPEAKER EMBEDDINGS FOR CROSS-SHOW SPEAKER DIARIZATION", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/944. Accessed: May. 25, 2017.
@article{944-16,
url = {http://sigport.org/944},
author = {Mickael Rouvier },
publisher = {IEEE SigPort},
title = {INVESTIGATION OF SPEAKER EMBEDDINGS FOR CROSS-SHOW SPEAKER DIARIZATION},
year = {2016} }
TY - EJOUR
T1 - INVESTIGATION OF SPEAKER EMBEDDINGS FOR CROSS-SHOW SPEAKER DIARIZATION
AU - Mickael Rouvier
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/944
ER -
Mickael Rouvier. (2016). INVESTIGATION OF SPEAKER EMBEDDINGS FOR CROSS-SHOW SPEAKER DIARIZATION. IEEE SigPort. http://sigport.org/944
Mickael Rouvier, 2016. INVESTIGATION OF SPEAKER EMBEDDINGS FOR CROSS-SHOW SPEAKER DIARIZATION. Available at: http://sigport.org/944.
Mickael Rouvier. (2016). "INVESTIGATION OF SPEAKER EMBEDDINGS FOR CROSS-SHOW SPEAKER DIARIZATION." Web.
1. Mickael Rouvier. INVESTIGATION OF SPEAKER EMBEDDINGS FOR CROSS-SHOW SPEAKER DIARIZATION [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/944

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