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ICASSP 2019

ICASSP is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The 2019 conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. Visit website

Speech Emotion Recognition Using Multi-hop Attention Mechanism


In this paper, we are interested in exploiting textual and acoustic data of an utterance for the speech emotion classification task. The baseline approach models the information from audio and text independently using two deep neural networks (DNNs). The outputs from both the DNNs are then fused for classification. As opposed to using knowledge from both the modalities separately, we propose a framework to exploit acoustic information in tandem with lexical data.

Paper Details

Authors:
Seunghyun Yoon,Seokhyun Byun,Subhadeep Dey,Kyomin Jung
Submitted On:
23 May 2019 - 5:27am
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[1] Seunghyun Yoon,Seokhyun Byun,Subhadeep Dey,Kyomin Jung, "Speech Emotion Recognition Using Multi-hop Attention Mechanism", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4559. Accessed: May. 26, 2019.
@article{4559-19,
url = {http://sigport.org/4559},
author = {Seunghyun Yoon;Seokhyun Byun;Subhadeep Dey;Kyomin Jung },
publisher = {IEEE SigPort},
title = {Speech Emotion Recognition Using Multi-hop Attention Mechanism},
year = {2019} }
TY - EJOUR
T1 - Speech Emotion Recognition Using Multi-hop Attention Mechanism
AU - Seunghyun Yoon;Seokhyun Byun;Subhadeep Dey;Kyomin Jung
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4559
ER -
Seunghyun Yoon,Seokhyun Byun,Subhadeep Dey,Kyomin Jung. (2019). Speech Emotion Recognition Using Multi-hop Attention Mechanism. IEEE SigPort. http://sigport.org/4559
Seunghyun Yoon,Seokhyun Byun,Subhadeep Dey,Kyomin Jung, 2019. Speech Emotion Recognition Using Multi-hop Attention Mechanism. Available at: http://sigport.org/4559.
Seunghyun Yoon,Seokhyun Byun,Subhadeep Dey,Kyomin Jung. (2019). "Speech Emotion Recognition Using Multi-hop Attention Mechanism." Web.
1. Seunghyun Yoon,Seokhyun Byun,Subhadeep Dey,Kyomin Jung. Speech Emotion Recognition Using Multi-hop Attention Mechanism [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4559

Poster Imperceptible Audio Communication


A differential acoustic OFDM technique is presented to embed data imperceptibly in existing music. The method allows playing back music containing the data with a speaker without users noticing the embedded data channel. Using a microphone, the data can be recovered from the recording. Experiments with smartphone microphones show that transmission distances of 24 meters are possible, while achieving bit error ratios of less than 10 percent, depending on the environment.

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Authors:
Manuel Eichelberger, Simon Tanner, Gabriel Voirol, Roger Wattenhofer
Submitted On:
22 May 2019 - 8:47am
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Poster ICASSP 2019.pdf

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[1] Manuel Eichelberger, Simon Tanner, Gabriel Voirol, Roger Wattenhofer, "Poster Imperceptible Audio Communication", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4557. Accessed: May. 26, 2019.
@article{4557-19,
url = {http://sigport.org/4557},
author = {Manuel Eichelberger; Simon Tanner; Gabriel Voirol; Roger Wattenhofer },
publisher = {IEEE SigPort},
title = {Poster Imperceptible Audio Communication},
year = {2019} }
TY - EJOUR
T1 - Poster Imperceptible Audio Communication
AU - Manuel Eichelberger; Simon Tanner; Gabriel Voirol; Roger Wattenhofer
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4557
ER -
Manuel Eichelberger, Simon Tanner, Gabriel Voirol, Roger Wattenhofer. (2019). Poster Imperceptible Audio Communication. IEEE SigPort. http://sigport.org/4557
Manuel Eichelberger, Simon Tanner, Gabriel Voirol, Roger Wattenhofer, 2019. Poster Imperceptible Audio Communication. Available at: http://sigport.org/4557.
Manuel Eichelberger, Simon Tanner, Gabriel Voirol, Roger Wattenhofer. (2019). "Poster Imperceptible Audio Communication." Web.
1. Manuel Eichelberger, Simon Tanner, Gabriel Voirol, Roger Wattenhofer. Poster Imperceptible Audio Communication [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4557

ENHANCING SOUND TEXTURE IN CNN-BASED ACOUSTIC SCENE CLASSIFICATION

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Authors:
Yuzhong Wu, Tan Lee
Submitted On:
21 May 2019 - 12:14pm
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icassp2019_poster_yzwu_sound_texture.pdf

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[1] Yuzhong Wu, Tan Lee, "ENHANCING SOUND TEXTURE IN CNN-BASED ACOUSTIC SCENE CLASSIFICATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4556. Accessed: May. 26, 2019.
@article{4556-19,
url = {http://sigport.org/4556},
author = {Yuzhong Wu; Tan Lee },
publisher = {IEEE SigPort},
title = {ENHANCING SOUND TEXTURE IN CNN-BASED ACOUSTIC SCENE CLASSIFICATION},
year = {2019} }
TY - EJOUR
T1 - ENHANCING SOUND TEXTURE IN CNN-BASED ACOUSTIC SCENE CLASSIFICATION
AU - Yuzhong Wu; Tan Lee
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4556
ER -
Yuzhong Wu, Tan Lee. (2019). ENHANCING SOUND TEXTURE IN CNN-BASED ACOUSTIC SCENE CLASSIFICATION. IEEE SigPort. http://sigport.org/4556
Yuzhong Wu, Tan Lee, 2019. ENHANCING SOUND TEXTURE IN CNN-BASED ACOUSTIC SCENE CLASSIFICATION. Available at: http://sigport.org/4556.
Yuzhong Wu, Tan Lee. (2019). "ENHANCING SOUND TEXTURE IN CNN-BASED ACOUSTIC SCENE CLASSIFICATION." Web.
1. Yuzhong Wu, Tan Lee. ENHANCING SOUND TEXTURE IN CNN-BASED ACOUSTIC SCENE CLASSIFICATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4556

Learning Search Path for Region-Level Image Matching

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Authors:
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino
Submitted On:
20 May 2019 - 10:45pm
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icassp_19_poster_onkar.pdf

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[1] Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino , "Learning Search Path for Region-Level Image Matching", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4555. Accessed: May. 26, 2019.
@article{4555-19,
url = {http://sigport.org/4555},
author = {Onkar Krishna; Go Irie; Xiaomeng Wu; Takahito Kawanishi; Kunio Kashino },
publisher = {IEEE SigPort},
title = {Learning Search Path for Region-Level Image Matching},
year = {2019} }
TY - EJOUR
T1 - Learning Search Path for Region-Level Image Matching
AU - Onkar Krishna; Go Irie; Xiaomeng Wu; Takahito Kawanishi; Kunio Kashino
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4555
ER -
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino . (2019). Learning Search Path for Region-Level Image Matching. IEEE SigPort. http://sigport.org/4555
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino , 2019. Learning Search Path for Region-Level Image Matching. Available at: http://sigport.org/4555.
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino . (2019). "Learning Search Path for Region-Level Image Matching." Web.
1. Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino . Learning Search Path for Region-Level Image Matching [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4555

Learning Search Path for Region-Level Image Matching

Paper Details

Authors:
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino
Submitted On:
20 May 2019 - 10:45pm
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ICASSP_19 poster

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[1] Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino , "Learning Search Path for Region-Level Image Matching", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4554. Accessed: May. 26, 2019.
@article{4554-19,
url = {http://sigport.org/4554},
author = {Onkar Krishna; Go Irie; Xiaomeng Wu; Takahito Kawanishi; Kunio Kashino },
publisher = {IEEE SigPort},
title = {Learning Search Path for Region-Level Image Matching},
year = {2019} }
TY - EJOUR
T1 - Learning Search Path for Region-Level Image Matching
AU - Onkar Krishna; Go Irie; Xiaomeng Wu; Takahito Kawanishi; Kunio Kashino
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4554
ER -
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino . (2019). Learning Search Path for Region-Level Image Matching. IEEE SigPort. http://sigport.org/4554
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino , 2019. Learning Search Path for Region-Level Image Matching. Available at: http://sigport.org/4554.
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino . (2019). "Learning Search Path for Region-Level Image Matching." Web.
1. Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino . Learning Search Path for Region-Level Image Matching [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4554

ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation


This paper is concerned with estimating unknown multidimensional frequencies from linear compressive measurements. This is accomplished by employing the recently proposed atomic norm minimization framework to recover these frequencies under a sparsity prior without imposing any grid restriction on these frequencies. To this end, we give a rigorous derivation of an iterative scheme called alternating direction of multipliers method, which is able to incorporate multiple compressive snapshots from a multi-dimensional superposition of complex harmonics.

Paper Details

Authors:
Sebastian Semper, Florian Roemer
Submitted On:
20 May 2019 - 8:31am
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Slides for the presentation at ICASSP 2019 (SAM-L1.3)

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[1] Sebastian Semper, Florian Roemer, "ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4553. Accessed: May. 26, 2019.
@article{4553-19,
url = {http://sigport.org/4553},
author = {Sebastian Semper; Florian Roemer },
publisher = {IEEE SigPort},
title = {ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation},
year = {2019} }
TY - EJOUR
T1 - ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation
AU - Sebastian Semper; Florian Roemer
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4553
ER -
Sebastian Semper, Florian Roemer. (2019). ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation. IEEE SigPort. http://sigport.org/4553
Sebastian Semper, Florian Roemer, 2019. ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation. Available at: http://sigport.org/4553.
Sebastian Semper, Florian Roemer. (2019). "ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation." Web.
1. Sebastian Semper, Florian Roemer. ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4553

Sentiment Aware Fake News Detection on Online Social Networks

Paper Details

Authors:
Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari
Submitted On:
19 May 2019 - 7:04pm
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Poster-ICASSP2019

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[1] Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari, "Sentiment Aware Fake News Detection on Online Social Networks", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4552. Accessed: May. 26, 2019.
@article{4552-19,
url = {http://sigport.org/4552},
author = {Oluwaseun Ajao; Deepayan Bhowmik; Shahrzad Zargari },
publisher = {IEEE SigPort},
title = {Sentiment Aware Fake News Detection on Online Social Networks},
year = {2019} }
TY - EJOUR
T1 - Sentiment Aware Fake News Detection on Online Social Networks
AU - Oluwaseun Ajao; Deepayan Bhowmik; Shahrzad Zargari
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4552
ER -
Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari. (2019). Sentiment Aware Fake News Detection on Online Social Networks. IEEE SigPort. http://sigport.org/4552
Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari, 2019. Sentiment Aware Fake News Detection on Online Social Networks. Available at: http://sigport.org/4552.
Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari. (2019). "Sentiment Aware Fake News Detection on Online Social Networks." Web.
1. Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari. Sentiment Aware Fake News Detection on Online Social Networks [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4552

Improving Graph Trend Filtering with Non-Convex Penalties


In this paper, we study the denoising of piecewise smooth graph sig-nals that exhibit inhomogeneous levels of smoothness over a graph. We extend the graph trend filtering framework to a family of non-convex regularizers that exhibit superior recovery performance overexisting convex ones. We present theoretical results in the form ofasymptotic error rates for both generic and specialized graph models. We further present an ADMM-based algorithm to solve the proposedoptimization problem and analyze its convergence.

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Authors:
Rohan Varma, Jelena Kovačević
Submitted On:
18 May 2019 - 3:59pm
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[1] Rohan Varma, Jelena Kovačević, "Improving Graph Trend Filtering with Non-Convex Penalties", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4551. Accessed: May. 26, 2019.
@article{4551-19,
url = {http://sigport.org/4551},
author = {Rohan Varma; Jelena Kovačević },
publisher = {IEEE SigPort},
title = {Improving Graph Trend Filtering with Non-Convex Penalties},
year = {2019} }
TY - EJOUR
T1 - Improving Graph Trend Filtering with Non-Convex Penalties
AU - Rohan Varma; Jelena Kovačević
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4551
ER -
Rohan Varma, Jelena Kovačević. (2019). Improving Graph Trend Filtering with Non-Convex Penalties. IEEE SigPort. http://sigport.org/4551
Rohan Varma, Jelena Kovačević, 2019. Improving Graph Trend Filtering with Non-Convex Penalties. Available at: http://sigport.org/4551.
Rohan Varma, Jelena Kovačević. (2019). "Improving Graph Trend Filtering with Non-Convex Penalties." Web.
1. Rohan Varma, Jelena Kovačević. Improving Graph Trend Filtering with Non-Convex Penalties [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4551

ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding


Electric Network Frequency (ENF) analysis is a promising forensic technique for authenticating digital recordings and detecting tampering within the recordings. The validity of ENF analysis heavily relies on high-quality ENF signals extracted from multimedia recordings. In this paper, we propose an ENF signal extraction method for rolling shutter acquired videos using periodic zero-padding. Our analysis shows that the extracted ENF signals using the proposed method are not distorted and the component with the highest signal-to-noise ratio is located at the intrinsic frequency.

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Submitted On:
21 May 2019 - 8:49pm
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Poster for ICASSP 2019 paper

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[1] , "ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4550. Accessed: May. 26, 2019.
@article{4550-19,
url = {http://sigport.org/4550},
author = { },
publisher = {IEEE SigPort},
title = {ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding},
year = {2019} }
TY - EJOUR
T1 - ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4550
ER -
. (2019). ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding. IEEE SigPort. http://sigport.org/4550
, 2019. ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding. Available at: http://sigport.org/4550.
. (2019). "ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding." Web.
1. . ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4550

Similarity Metric Based on Siamese Neural Networks for Voice Casting

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Authors:
Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre
Submitted On:
17 May 2019 - 6:34am
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[1] Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre, "Similarity Metric Based on Siamese Neural Networks for Voice Casting", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4547. Accessed: May. 26, 2019.
@article{4547-19,
url = {http://sigport.org/4547},
author = {Mathias Quillot; Richard Dufour; Vincent Labatut; Jean-François Bonastre },
publisher = {IEEE SigPort},
title = {Similarity Metric Based on Siamese Neural Networks for Voice Casting},
year = {2019} }
TY - EJOUR
T1 - Similarity Metric Based on Siamese Neural Networks for Voice Casting
AU - Mathias Quillot; Richard Dufour; Vincent Labatut; Jean-François Bonastre
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4547
ER -
Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre. (2019). Similarity Metric Based on Siamese Neural Networks for Voice Casting. IEEE SigPort. http://sigport.org/4547
Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre, 2019. Similarity Metric Based on Siamese Neural Networks for Voice Casting. Available at: http://sigport.org/4547.
Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre. (2019). "Similarity Metric Based on Siamese Neural Networks for Voice Casting." Web.
1. Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre. Similarity Metric Based on Siamese Neural Networks for Voice Casting [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4547

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