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ICASSP 2018

ICASSP is the world's largest and most comprehensive technical conference on signal processing and its applications. It provides a fantastic networking opportunity for like-minded professionals from around the world. ICASSP 2018 conference will feature world-class presentations by internationally renowned speakers and cutting-edge session topics. Visit ICASSP 2018.

Potential-field-based active exploration for acoustic simultaneous localization and mapping


This paper presents a novel framework for active exploration in the context of acoustic \gls{SLAM} using a microphone array mounted on a mobile robotic agent. Acoustic \gls{SLAM} aims at building a map of acoustic sources present in the environment and simultaneously estimating the agent's own trajectory and position within this map. Two important aspects of this task are robustness against disturbances arising from reverberation and sensor imperfections and an appropriate degree of exploration to achieve high map accuracy.

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Authors:
Christopher Schymura, Dorothea Kolossa
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13 April 2018 - 5:58am
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[1] Christopher Schymura, Dorothea Kolossa, "Potential-field-based active exploration for acoustic simultaneous localization and mapping", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2676. Accessed: Jul. 18, 2018.
@article{2676-18,
url = {http://sigport.org/2676},
author = {Christopher Schymura; Dorothea Kolossa },
publisher = {IEEE SigPort},
title = {Potential-field-based active exploration for acoustic simultaneous localization and mapping},
year = {2018} }
TY - EJOUR
T1 - Potential-field-based active exploration for acoustic simultaneous localization and mapping
AU - Christopher Schymura; Dorothea Kolossa
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2676
ER -
Christopher Schymura, Dorothea Kolossa. (2018). Potential-field-based active exploration for acoustic simultaneous localization and mapping. IEEE SigPort. http://sigport.org/2676
Christopher Schymura, Dorothea Kolossa, 2018. Potential-field-based active exploration for acoustic simultaneous localization and mapping. Available at: http://sigport.org/2676.
Christopher Schymura, Dorothea Kolossa. (2018). "Potential-field-based active exploration for acoustic simultaneous localization and mapping." Web.
1. Christopher Schymura, Dorothea Kolossa. Potential-field-based active exploration for acoustic simultaneous localization and mapping [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2676

Passive online geometry calibration of acoustic sensor networks


As we are surrounded by an increased number of mobile devices equipped with wireless links and multiple microphones, e.g., smartphones, tablets, laptops and hearing aids, using them collaboratively for acoustic processing is a promising platform for emerging applications.

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Authors:
Axel Plinge, Gernot A. Fink, Sharon Gannot
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13 April 2018 - 5:46am
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pog-poster-v6.pdf

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[1] Axel Plinge, Gernot A. Fink, Sharon Gannot, "Passive online geometry calibration of acoustic sensor networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2673. Accessed: Jul. 18, 2018.
@article{2673-18,
url = {http://sigport.org/2673},
author = {Axel Plinge; Gernot A. Fink; Sharon Gannot },
publisher = {IEEE SigPort},
title = {Passive online geometry calibration of acoustic sensor networks},
year = {2018} }
TY - EJOUR
T1 - Passive online geometry calibration of acoustic sensor networks
AU - Axel Plinge; Gernot A. Fink; Sharon Gannot
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2673
ER -
Axel Plinge, Gernot A. Fink, Sharon Gannot. (2018). Passive online geometry calibration of acoustic sensor networks. IEEE SigPort. http://sigport.org/2673
Axel Plinge, Gernot A. Fink, Sharon Gannot, 2018. Passive online geometry calibration of acoustic sensor networks. Available at: http://sigport.org/2673.
Axel Plinge, Gernot A. Fink, Sharon Gannot. (2018). "Passive online geometry calibration of acoustic sensor networks." Web.
1. Axel Plinge, Gernot A. Fink, Sharon Gannot. Passive online geometry calibration of acoustic sensor networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2673

DEREVERBERATION AND BEAMFORMING IN FAR-FIELD SPEAKER RECOGNITION


This paper deals with far-field speaker recognition. On a corpus of NIST SRE 2010 data retransmitted in a real room with multiple microphones, we first demonstrate how room acoustics cause significant degradation of state-of-the-art i-vector based speaker recognition system. We then investigate several techniques to improve the performances ranging from probabilistic linear discriminant analysis (PLDA) re-training, through dereverberation, to beamforming.

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Authors:
Ladislav Mosner, Pavel Matejka, Ondrej Novotny, Jan Cernocky
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13 April 2018 - 5:47am
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[1] Ladislav Mosner, Pavel Matejka, Ondrej Novotny, Jan Cernocky, "DEREVERBERATION AND BEAMFORMING IN FAR-FIELD SPEAKER RECOGNITION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2672. Accessed: Jul. 18, 2018.
@article{2672-18,
url = {http://sigport.org/2672},
author = {Ladislav Mosner; Pavel Matejka; Ondrej Novotny; Jan Cernocky },
publisher = {IEEE SigPort},
title = {DEREVERBERATION AND BEAMFORMING IN FAR-FIELD SPEAKER RECOGNITION},
year = {2018} }
TY - EJOUR
T1 - DEREVERBERATION AND BEAMFORMING IN FAR-FIELD SPEAKER RECOGNITION
AU - Ladislav Mosner; Pavel Matejka; Ondrej Novotny; Jan Cernocky
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2672
ER -
Ladislav Mosner, Pavel Matejka, Ondrej Novotny, Jan Cernocky. (2018). DEREVERBERATION AND BEAMFORMING IN FAR-FIELD SPEAKER RECOGNITION. IEEE SigPort. http://sigport.org/2672
Ladislav Mosner, Pavel Matejka, Ondrej Novotny, Jan Cernocky, 2018. DEREVERBERATION AND BEAMFORMING IN FAR-FIELD SPEAKER RECOGNITION. Available at: http://sigport.org/2672.
Ladislav Mosner, Pavel Matejka, Ondrej Novotny, Jan Cernocky. (2018). "DEREVERBERATION AND BEAMFORMING IN FAR-FIELD SPEAKER RECOGNITION." Web.
1. Ladislav Mosner, Pavel Matejka, Ondrej Novotny, Jan Cernocky. DEREVERBERATION AND BEAMFORMING IN FAR-FIELD SPEAKER RECOGNITION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2672

Structure from sound with incomplete data


In this paper, we consider the problem of jointly localizing a microphone array and identifying the direction of arrival of acoustic events. Under the assumption that the sources are in the far field, this problem can be formulated as a constrained low-rank matrix factorization with an unknown column offset. Our focus is on handling missing entries, particularly when the measurement matrix does not contain a single complete column. This case has not received attention in the literature and is not handled by existing algorithms, however it is prevalent in practice.

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Authors:
Miranda Kreković, Gilles Baechler, Ivan Dokmanic, Martin Vetterli
Submitted On:
13 April 2018 - 5:44am
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ICASSP2018_poster2.pdf

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[1] Miranda Kreković, Gilles Baechler, Ivan Dokmanic, Martin Vetterli, "Structure from sound with incomplete data", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2671. Accessed: Jul. 18, 2018.
@article{2671-18,
url = {http://sigport.org/2671},
author = {Miranda Kreković; Gilles Baechler; Ivan Dokmanic; Martin Vetterli },
publisher = {IEEE SigPort},
title = {Structure from sound with incomplete data},
year = {2018} }
TY - EJOUR
T1 - Structure from sound with incomplete data
AU - Miranda Kreković; Gilles Baechler; Ivan Dokmanic; Martin Vetterli
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2671
ER -
Miranda Kreković, Gilles Baechler, Ivan Dokmanic, Martin Vetterli. (2018). Structure from sound with incomplete data. IEEE SigPort. http://sigport.org/2671
Miranda Kreković, Gilles Baechler, Ivan Dokmanic, Martin Vetterli, 2018. Structure from sound with incomplete data. Available at: http://sigport.org/2671.
Miranda Kreković, Gilles Baechler, Ivan Dokmanic, Martin Vetterli. (2018). "Structure from sound with incomplete data." Web.
1. Miranda Kreković, Gilles Baechler, Ivan Dokmanic, Martin Vetterli. Structure from sound with incomplete data [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2671

Combining range and direction for improved localization


Self-localization of nodes in a sensor network is typically achieved using either range or direction measurements; in this paper, we show that a constructive combination of both improves the estimation. We propose two localization algorithms that make use of the differences between the sensors’ coordinates, or edge vectors; these can be calculated from measured distances and angles. Our first method improves the existing edge-multidimensional scaling algorithm (E-MDS) by introducing additional constraints

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Authors:
Gilles Baechler, Frederike Dümbgen, Golnoosh Elhami, Miranda Kreković, Robin Scheibler, Adam Scholefield, Martin Vetterli
Submitted On:
13 April 2018 - 5:37am
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ICASSP2018_poster_A0.pdf

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[1] Gilles Baechler, Frederike Dümbgen, Golnoosh Elhami, Miranda Kreković, Robin Scheibler, Adam Scholefield, Martin Vetterli, "Combining range and direction for improved localization", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2670. Accessed: Jul. 18, 2018.
@article{2670-18,
url = {http://sigport.org/2670},
author = {Gilles Baechler; Frederike Dümbgen; Golnoosh Elhami; Miranda Kreković; Robin Scheibler; Adam Scholefield; Martin Vetterli },
publisher = {IEEE SigPort},
title = {Combining range and direction for improved localization},
year = {2018} }
TY - EJOUR
T1 - Combining range and direction for improved localization
AU - Gilles Baechler; Frederike Dümbgen; Golnoosh Elhami; Miranda Kreković; Robin Scheibler; Adam Scholefield; Martin Vetterli
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2670
ER -
Gilles Baechler, Frederike Dümbgen, Golnoosh Elhami, Miranda Kreković, Robin Scheibler, Adam Scholefield, Martin Vetterli. (2018). Combining range and direction for improved localization. IEEE SigPort. http://sigport.org/2670
Gilles Baechler, Frederike Dümbgen, Golnoosh Elhami, Miranda Kreković, Robin Scheibler, Adam Scholefield, Martin Vetterli, 2018. Combining range and direction for improved localization. Available at: http://sigport.org/2670.
Gilles Baechler, Frederike Dümbgen, Golnoosh Elhami, Miranda Kreković, Robin Scheibler, Adam Scholefield, Martin Vetterli. (2018). "Combining range and direction for improved localization." Web.
1. Gilles Baechler, Frederike Dümbgen, Golnoosh Elhami, Miranda Kreković, Robin Scheibler, Adam Scholefield, Martin Vetterli. Combining range and direction for improved localization [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2670

A Joint Multi-Task Learning Framework For Spoken Language Understanding

Paper Details

Authors:
Cunliang Kong,Yan Zhao
Submitted On:
13 April 2018 - 5:34am
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A Joint Multi-Task Learning Framework For Spoken Language.pdf

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[1] Cunliang Kong,Yan Zhao, "A Joint Multi-Task Learning Framework For Spoken Language Understanding", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2669. Accessed: Jul. 18, 2018.
@article{2669-18,
url = {http://sigport.org/2669},
author = {Cunliang Kong;Yan Zhao },
publisher = {IEEE SigPort},
title = {A Joint Multi-Task Learning Framework For Spoken Language Understanding},
year = {2018} }
TY - EJOUR
T1 - A Joint Multi-Task Learning Framework For Spoken Language Understanding
AU - Cunliang Kong;Yan Zhao
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2669
ER -
Cunliang Kong,Yan Zhao. (2018). A Joint Multi-Task Learning Framework For Spoken Language Understanding. IEEE SigPort. http://sigport.org/2669
Cunliang Kong,Yan Zhao, 2018. A Joint Multi-Task Learning Framework For Spoken Language Understanding. Available at: http://sigport.org/2669.
Cunliang Kong,Yan Zhao. (2018). "A Joint Multi-Task Learning Framework For Spoken Language Understanding." Web.
1. Cunliang Kong,Yan Zhao. A Joint Multi-Task Learning Framework For Spoken Language Understanding [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2669

DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G


Millimeter wave frequencies paired up with MIMO antennas
employing beamforming are seen as critical enablers of next gen-
eration networks. However, selecting the most beneficial beamform-
ing weights in a codebook-enabled downlink transmitter is a lengthy
task, as the existing methods rely on some form of channel mea-
surement. In fact, if the used codebook is too large, the traditional
methods might fail to select an appropriate entry within the channel
coherence time.
In this paper, a new method to assist the beam selection is pro-

poster.pdf

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Authors:
Gabriel Falcao, Leonel Sousa
Submitted On:
13 April 2018 - 5:25am
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Poster

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[1] Gabriel Falcao, Leonel Sousa, "DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2668. Accessed: Jul. 18, 2018.
@article{2668-18,
url = {http://sigport.org/2668},
author = {Gabriel Falcao; Leonel Sousa },
publisher = {IEEE SigPort},
title = {DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G},
year = {2018} }
TY - EJOUR
T1 - DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G
AU - Gabriel Falcao; Leonel Sousa
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2668
ER -
Gabriel Falcao, Leonel Sousa. (2018). DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G. IEEE SigPort. http://sigport.org/2668
Gabriel Falcao, Leonel Sousa, 2018. DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G. Available at: http://sigport.org/2668.
Gabriel Falcao, Leonel Sousa. (2018). "DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G." Web.
1. Gabriel Falcao, Leonel Sousa. DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2668

Cofnet: Predict with Confidence


POSTER.pdf

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Authors:
Tung-yu Wu, Wing H. Wong, Chen-Yi Lee
Submitted On:
13 April 2018 - 5:23am
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[1] Tung-yu Wu, Wing H. Wong, Chen-Yi Lee, "Cofnet: Predict with Confidence", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2667. Accessed: Jul. 18, 2018.
@article{2667-18,
url = {http://sigport.org/2667},
author = {Tung-yu Wu; Wing H. Wong; Chen-Yi Lee },
publisher = {IEEE SigPort},
title = {Cofnet: Predict with Confidence},
year = {2018} }
TY - EJOUR
T1 - Cofnet: Predict with Confidence
AU - Tung-yu Wu; Wing H. Wong; Chen-Yi Lee
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2667
ER -
Tung-yu Wu, Wing H. Wong, Chen-Yi Lee. (2018). Cofnet: Predict with Confidence. IEEE SigPort. http://sigport.org/2667
Tung-yu Wu, Wing H. Wong, Chen-Yi Lee, 2018. Cofnet: Predict with Confidence. Available at: http://sigport.org/2667.
Tung-yu Wu, Wing H. Wong, Chen-Yi Lee. (2018). "Cofnet: Predict with Confidence." Web.
1. Tung-yu Wu, Wing H. Wong, Chen-Yi Lee. Cofnet: Predict with Confidence [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2667

Driver estimation in non-linear autoregressive models


In non-linear autoregressive models, the time dependency of coefficients is often driven by a particular time-series which is not given and thus has to be estimated from the data. To allow model evaluation on a validation set, we describe a parametric approach for such driver estimation. After estimating the driver as a weighted sum of potential drivers, we use it in a non-linear autoregressive model with a polynomial parametrization. Using gradient descent, we optimize the linear filter extracting the driver, outperforming a typical grid-search on predefined filters.

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Authors:
Tom Dupre la Tour, Yves Grenier, Alexandre Gramfort
Submitted On:
13 April 2018 - 5:21am
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icassp2018duprelatour.pdf

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[1] Tom Dupre la Tour, Yves Grenier, Alexandre Gramfort, "Driver estimation in non-linear autoregressive models", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2666. Accessed: Jul. 18, 2018.
@article{2666-18,
url = {http://sigport.org/2666},
author = {Tom Dupre la Tour; Yves Grenier; Alexandre Gramfort },
publisher = {IEEE SigPort},
title = {Driver estimation in non-linear autoregressive models},
year = {2018} }
TY - EJOUR
T1 - Driver estimation in non-linear autoregressive models
AU - Tom Dupre la Tour; Yves Grenier; Alexandre Gramfort
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2666
ER -
Tom Dupre la Tour, Yves Grenier, Alexandre Gramfort. (2018). Driver estimation in non-linear autoregressive models. IEEE SigPort. http://sigport.org/2666
Tom Dupre la Tour, Yves Grenier, Alexandre Gramfort, 2018. Driver estimation in non-linear autoregressive models. Available at: http://sigport.org/2666.
Tom Dupre la Tour, Yves Grenier, Alexandre Gramfort. (2018). "Driver estimation in non-linear autoregressive models." Web.
1. Tom Dupre la Tour, Yves Grenier, Alexandre Gramfort. Driver estimation in non-linear autoregressive models [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2666

INDIVIDUAL DIFFERENCE OF ULTRASONIC TRANSDUCERS FOR PARAMETRIC ARRAY LOUDSPEAKER


A parametric array loudspeaker (PAL) consists of a lot of ultrasonic transducers in most cases and is driven by an ultrasonic which is modulated by audible sound. Because each ultrasonic transducer has each difference resonant frequency, there is the individual difference in ultrasonic transducers of a PAL in a manufacturing process. In this paper, two PALs are made of each set of transducers with large and small variance of resonant frequencies.

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Authors:
Shota Minami, Jun Kuroda, Yasuhiro Oikawa
Submitted On:
13 April 2018 - 5:16am
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ICASSP2018PosterMInami_FontAial2.pdf

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[1] Shota Minami, Jun Kuroda, Yasuhiro Oikawa, "INDIVIDUAL DIFFERENCE OF ULTRASONIC TRANSDUCERS FOR PARAMETRIC ARRAY LOUDSPEAKER", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2665. Accessed: Jul. 18, 2018.
@article{2665-18,
url = {http://sigport.org/2665},
author = {Shota Minami; Jun Kuroda; Yasuhiro Oikawa },
publisher = {IEEE SigPort},
title = {INDIVIDUAL DIFFERENCE OF ULTRASONIC TRANSDUCERS FOR PARAMETRIC ARRAY LOUDSPEAKER},
year = {2018} }
TY - EJOUR
T1 - INDIVIDUAL DIFFERENCE OF ULTRASONIC TRANSDUCERS FOR PARAMETRIC ARRAY LOUDSPEAKER
AU - Shota Minami; Jun Kuroda; Yasuhiro Oikawa
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2665
ER -
Shota Minami, Jun Kuroda, Yasuhiro Oikawa. (2018). INDIVIDUAL DIFFERENCE OF ULTRASONIC TRANSDUCERS FOR PARAMETRIC ARRAY LOUDSPEAKER. IEEE SigPort. http://sigport.org/2665
Shota Minami, Jun Kuroda, Yasuhiro Oikawa, 2018. INDIVIDUAL DIFFERENCE OF ULTRASONIC TRANSDUCERS FOR PARAMETRIC ARRAY LOUDSPEAKER. Available at: http://sigport.org/2665.
Shota Minami, Jun Kuroda, Yasuhiro Oikawa. (2018). "INDIVIDUAL DIFFERENCE OF ULTRASONIC TRANSDUCERS FOR PARAMETRIC ARRAY LOUDSPEAKER." Web.
1. Shota Minami, Jun Kuroda, Yasuhiro Oikawa. INDIVIDUAL DIFFERENCE OF ULTRASONIC TRANSDUCERS FOR PARAMETRIC ARRAY LOUDSPEAKER [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2665

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