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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.

Pyroomacoustics: A Python package for audio room simulation and array processing algorithms


We present pyroomacoustics, a software package aimed at the rapid development and testing of audio array processing algorithms.

poster.pdf

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Authors:
Robin Scheibler, Eric Bezzam, Ivan Dokmanic
Submitted On:
23 April 2018 - 4:18am
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poster.pdf

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[1] Robin Scheibler, Eric Bezzam, Ivan Dokmanic, "Pyroomacoustics: A Python package for audio room simulation and array processing algorithms", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3146. Accessed: Nov. 13, 2018.
@article{3146-18,
url = {http://sigport.org/3146},
author = {Robin Scheibler; Eric Bezzam; Ivan Dokmanic },
publisher = {IEEE SigPort},
title = {Pyroomacoustics: A Python package for audio room simulation and array processing algorithms},
year = {2018} }
TY - EJOUR
T1 - Pyroomacoustics: A Python package for audio room simulation and array processing algorithms
AU - Robin Scheibler; Eric Bezzam; Ivan Dokmanic
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3146
ER -
Robin Scheibler, Eric Bezzam, Ivan Dokmanic. (2018). Pyroomacoustics: A Python package for audio room simulation and array processing algorithms. IEEE SigPort. http://sigport.org/3146
Robin Scheibler, Eric Bezzam, Ivan Dokmanic, 2018. Pyroomacoustics: A Python package for audio room simulation and array processing algorithms. Available at: http://sigport.org/3146.
Robin Scheibler, Eric Bezzam, Ivan Dokmanic. (2018). "Pyroomacoustics: A Python package for audio room simulation and array processing algorithms." Web.
1. Robin Scheibler, Eric Bezzam, Ivan Dokmanic. Pyroomacoustics: A Python package for audio room simulation and array processing algorithms [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3146

Mutual-Information-Private Online Gradient Descent Algorithm


A user implemented privacy preservation mechanism is proposed for the online gradient descent (OGD) algorithm. Privacy is measured through the information leakage as quantified by the mutual information between the usersʼ outputs and learnerʼs inputs. The input perturbation mechanism proposed can be implemented by individual users with a space and time complexity that is independent of the horizon T. For the proposed mechanism, the information leakage is shown to be bounded by the Gaussian channel capacity in the full information setting.

newfile5.pdf

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Authors:
Ruochi Zhang, Parv Venkitasubramaniam
Submitted On:
23 April 2018 - 1:52am
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newfile5.pdf

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[1] Ruochi Zhang, Parv Venkitasubramaniam, "Mutual-Information-Private Online Gradient Descent Algorithm", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3145. Accessed: Nov. 13, 2018.
@article{3145-18,
url = {http://sigport.org/3145},
author = {Ruochi Zhang; Parv Venkitasubramaniam },
publisher = {IEEE SigPort},
title = {Mutual-Information-Private Online Gradient Descent Algorithm},
year = {2018} }
TY - EJOUR
T1 - Mutual-Information-Private Online Gradient Descent Algorithm
AU - Ruochi Zhang; Parv Venkitasubramaniam
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3145
ER -
Ruochi Zhang, Parv Venkitasubramaniam. (2018). Mutual-Information-Private Online Gradient Descent Algorithm. IEEE SigPort. http://sigport.org/3145
Ruochi Zhang, Parv Venkitasubramaniam, 2018. Mutual-Information-Private Online Gradient Descent Algorithm. Available at: http://sigport.org/3145.
Ruochi Zhang, Parv Venkitasubramaniam. (2018). "Mutual-Information-Private Online Gradient Descent Algorithm." Web.
1. Ruochi Zhang, Parv Venkitasubramaniam. Mutual-Information-Private Online Gradient Descent Algorithm [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3145

GENERALISED DISCRIMINATIVE TRANSFORM VIA CURRICULUM LEARNING FOR SPEAKER RECOGNITION


In this paper we introduce a speaker verification system deployed on mobile devices that can be used to personalise a keyword spotter. We describe a baseline DNN system that maps an utterance to a speaker embedding, which is used to measure speaker differences via cosine similarity. We then introduce an architectural modification which uses an LSTM system where the parameters are optimised via a curriculum learning procedure to reduce the detection error and improve its generalisability across various conditions.

Paper Details

Authors:
Erik Marchi, Stephen Shum, Kyuyeon Hwang, Sachin Kajarekar, Siddharth Sigtia, Hywel Richards, Rob Haynes, Yoon Kim, John Bridle
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23 April 2018 - 1:24am
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Siri_PHS_CurriculumLearning_ICASSP18v3.pdf

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[1] Erik Marchi, Stephen Shum, Kyuyeon Hwang, Sachin Kajarekar, Siddharth Sigtia, Hywel Richards, Rob Haynes, Yoon Kim, John Bridle, "GENERALISED DISCRIMINATIVE TRANSFORM VIA CURRICULUM LEARNING FOR SPEAKER RECOGNITION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3144. Accessed: Nov. 13, 2018.
@article{3144-18,
url = {http://sigport.org/3144},
author = {Erik Marchi; Stephen Shum; Kyuyeon Hwang; Sachin Kajarekar; Siddharth Sigtia; Hywel Richards; Rob Haynes; Yoon Kim; John Bridle },
publisher = {IEEE SigPort},
title = {GENERALISED DISCRIMINATIVE TRANSFORM VIA CURRICULUM LEARNING FOR SPEAKER RECOGNITION},
year = {2018} }
TY - EJOUR
T1 - GENERALISED DISCRIMINATIVE TRANSFORM VIA CURRICULUM LEARNING FOR SPEAKER RECOGNITION
AU - Erik Marchi; Stephen Shum; Kyuyeon Hwang; Sachin Kajarekar; Siddharth Sigtia; Hywel Richards; Rob Haynes; Yoon Kim; John Bridle
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3144
ER -
Erik Marchi, Stephen Shum, Kyuyeon Hwang, Sachin Kajarekar, Siddharth Sigtia, Hywel Richards, Rob Haynes, Yoon Kim, John Bridle. (2018). GENERALISED DISCRIMINATIVE TRANSFORM VIA CURRICULUM LEARNING FOR SPEAKER RECOGNITION. IEEE SigPort. http://sigport.org/3144
Erik Marchi, Stephen Shum, Kyuyeon Hwang, Sachin Kajarekar, Siddharth Sigtia, Hywel Richards, Rob Haynes, Yoon Kim, John Bridle, 2018. GENERALISED DISCRIMINATIVE TRANSFORM VIA CURRICULUM LEARNING FOR SPEAKER RECOGNITION. Available at: http://sigport.org/3144.
Erik Marchi, Stephen Shum, Kyuyeon Hwang, Sachin Kajarekar, Siddharth Sigtia, Hywel Richards, Rob Haynes, Yoon Kim, John Bridle. (2018). "GENERALISED DISCRIMINATIVE TRANSFORM VIA CURRICULUM LEARNING FOR SPEAKER RECOGNITION." Web.
1. Erik Marchi, Stephen Shum, Kyuyeon Hwang, Sachin Kajarekar, Siddharth Sigtia, Hywel Richards, Rob Haynes, Yoon Kim, John Bridle. GENERALISED DISCRIMINATIVE TRANSFORM VIA CURRICULUM LEARNING FOR SPEAKER RECOGNITION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3144

ON THE GEOMETRY OF MIXTURES OF PRESCRIBED DISTRIBUTIONS

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Submitted On:
23 April 2018 - 12:06am
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GeometryMixtures-Poster-ICASSP2018.pdf

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[1] , "ON THE GEOMETRY OF MIXTURES OF PRESCRIBED DISTRIBUTIONS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3143. Accessed: Nov. 13, 2018.
@article{3143-18,
url = {http://sigport.org/3143},
author = { },
publisher = {IEEE SigPort},
title = {ON THE GEOMETRY OF MIXTURES OF PRESCRIBED DISTRIBUTIONS},
year = {2018} }
TY - EJOUR
T1 - ON THE GEOMETRY OF MIXTURES OF PRESCRIBED DISTRIBUTIONS
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3143
ER -
. (2018). ON THE GEOMETRY OF MIXTURES OF PRESCRIBED DISTRIBUTIONS. IEEE SigPort. http://sigport.org/3143
, 2018. ON THE GEOMETRY OF MIXTURES OF PRESCRIBED DISTRIBUTIONS. Available at: http://sigport.org/3143.
. (2018). "ON THE GEOMETRY OF MIXTURES OF PRESCRIBED DISTRIBUTIONS." Web.
1. . ON THE GEOMETRY OF MIXTURES OF PRESCRIBED DISTRIBUTIONS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3143

MULTI-SCALE OBJECT DETECTION WITH FEATURE FUSION AND REGION OBJECTNESS NETWORK

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22 April 2018 - 11:10pm
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WenjieGuan-3304-2018_ICASSP_POSTER.pdf

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[1] , "MULTI-SCALE OBJECT DETECTION WITH FEATURE FUSION AND REGION OBJECTNESS NETWORK", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3142. Accessed: Nov. 13, 2018.
@article{3142-18,
url = {http://sigport.org/3142},
author = { },
publisher = {IEEE SigPort},
title = {MULTI-SCALE OBJECT DETECTION WITH FEATURE FUSION AND REGION OBJECTNESS NETWORK},
year = {2018} }
TY - EJOUR
T1 - MULTI-SCALE OBJECT DETECTION WITH FEATURE FUSION AND REGION OBJECTNESS NETWORK
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3142
ER -
. (2018). MULTI-SCALE OBJECT DETECTION WITH FEATURE FUSION AND REGION OBJECTNESS NETWORK. IEEE SigPort. http://sigport.org/3142
, 2018. MULTI-SCALE OBJECT DETECTION WITH FEATURE FUSION AND REGION OBJECTNESS NETWORK. Available at: http://sigport.org/3142.
. (2018). "MULTI-SCALE OBJECT DETECTION WITH FEATURE FUSION AND REGION OBJECTNESS NETWORK." Web.
1. . MULTI-SCALE OBJECT DETECTION WITH FEATURE FUSION AND REGION OBJECTNESS NETWORK [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3142

Software Defined Resource Allocation for Service-Oriented Networks

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Authors:
Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo
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22 April 2018 - 11:07pm
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icassp2018_poster_v4.pdf

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[1] Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo, "Software Defined Resource Allocation for Service-Oriented Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3141. Accessed: Nov. 13, 2018.
@article{3141-18,
url = {http://sigport.org/3141},
author = {Nan Zhang;Ya-Feng Liu; Hamid Farmanbar; Tsung-Hui Chang; Mingyi Hong; Zhi-Quan Luo },
publisher = {IEEE SigPort},
title = {Software Defined Resource Allocation for Service-Oriented Networks},
year = {2018} }
TY - EJOUR
T1 - Software Defined Resource Allocation for Service-Oriented Networks
AU - Nan Zhang;Ya-Feng Liu; Hamid Farmanbar; Tsung-Hui Chang; Mingyi Hong; Zhi-Quan Luo
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3141
ER -
Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo. (2018). Software Defined Resource Allocation for Service-Oriented Networks. IEEE SigPort. http://sigport.org/3141
Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo, 2018. Software Defined Resource Allocation for Service-Oriented Networks. Available at: http://sigport.org/3141.
Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo. (2018). "Software Defined Resource Allocation for Service-Oriented Networks." Web.
1. Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo. Software Defined Resource Allocation for Service-Oriented Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3141

CBLDNN-BASED SPEAKER-INDEPENDENT SPEECH SEPARATION VIA GENERATIVE ADVERSARIAL TRAINING


In this paper, we propose a speaker-independent multi-speaker monaural speech separation system (CBLDNN-GAT) based on convolutional, bidirectional long short-term memory, deep feed-forward neural network (CBLDNN) with generative adversarial training (GAT). Our system aims at obtaining better speech quality instead of only minimizing a mean square error (MSE). In the initial phase, we utilize log-mel filterbank and pitch features to warm up our CBLDNN in a multi-task manner.

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Authors:
Chenxing Li, Lei Zhu, Shuang Xu, Peng Gao, Bo Xu
Submitted On:
22 April 2018 - 9:43pm
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conference_poster_4.pdf

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[1] Chenxing Li, Lei Zhu, Shuang Xu, Peng Gao, Bo Xu, "CBLDNN-BASED SPEAKER-INDEPENDENT SPEECH SEPARATION VIA GENERATIVE ADVERSARIAL TRAINING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3140. Accessed: Nov. 13, 2018.
@article{3140-18,
url = {http://sigport.org/3140},
author = {Chenxing Li; Lei Zhu; Shuang Xu; Peng Gao; Bo Xu },
publisher = {IEEE SigPort},
title = {CBLDNN-BASED SPEAKER-INDEPENDENT SPEECH SEPARATION VIA GENERATIVE ADVERSARIAL TRAINING},
year = {2018} }
TY - EJOUR
T1 - CBLDNN-BASED SPEAKER-INDEPENDENT SPEECH SEPARATION VIA GENERATIVE ADVERSARIAL TRAINING
AU - Chenxing Li; Lei Zhu; Shuang Xu; Peng Gao; Bo Xu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3140
ER -
Chenxing Li, Lei Zhu, Shuang Xu, Peng Gao, Bo Xu. (2018). CBLDNN-BASED SPEAKER-INDEPENDENT SPEECH SEPARATION VIA GENERATIVE ADVERSARIAL TRAINING. IEEE SigPort. http://sigport.org/3140
Chenxing Li, Lei Zhu, Shuang Xu, Peng Gao, Bo Xu, 2018. CBLDNN-BASED SPEAKER-INDEPENDENT SPEECH SEPARATION VIA GENERATIVE ADVERSARIAL TRAINING. Available at: http://sigport.org/3140.
Chenxing Li, Lei Zhu, Shuang Xu, Peng Gao, Bo Xu. (2018). "CBLDNN-BASED SPEAKER-INDEPENDENT SPEECH SEPARATION VIA GENERATIVE ADVERSARIAL TRAINING." Web.
1. Chenxing Li, Lei Zhu, Shuang Xu, Peng Gao, Bo Xu. CBLDNN-BASED SPEAKER-INDEPENDENT SPEECH SEPARATION VIA GENERATIVE ADVERSARIAL TRAINING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3140

Separake: Source separation with a little help from echoes


It is commonly believed that multipath hurts various audio processing algorithms. At odds with this belief, we show that multipath in fact helps sound source separation, even with very simple propagation models. Unlike most existing methods, we neither ignore the room impulse responses, nor we attempt to estimate them fully. We rather assume to know the positions of a few virtual microphones generated by echoes and we show how this gives us enough spatial diversity to get a performance boost over the anechoic case.

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Authors:
Robin Scheibler, Diego Di Carlo, Antoine Deleforge, Ivan Dokmanic
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22 April 2018 - 9:05pm
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separake_icassp2018_slides.pdf

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[1] Robin Scheibler, Diego Di Carlo, Antoine Deleforge, Ivan Dokmanic, "Separake: Source separation with a little help from echoes", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3139. Accessed: Nov. 13, 2018.
@article{3139-18,
url = {http://sigport.org/3139},
author = {Robin Scheibler; Diego Di Carlo; Antoine Deleforge; Ivan Dokmanic },
publisher = {IEEE SigPort},
title = {Separake: Source separation with a little help from echoes},
year = {2018} }
TY - EJOUR
T1 - Separake: Source separation with a little help from echoes
AU - Robin Scheibler; Diego Di Carlo; Antoine Deleforge; Ivan Dokmanic
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3139
ER -
Robin Scheibler, Diego Di Carlo, Antoine Deleforge, Ivan Dokmanic. (2018). Separake: Source separation with a little help from echoes. IEEE SigPort. http://sigport.org/3139
Robin Scheibler, Diego Di Carlo, Antoine Deleforge, Ivan Dokmanic, 2018. Separake: Source separation with a little help from echoes. Available at: http://sigport.org/3139.
Robin Scheibler, Diego Di Carlo, Antoine Deleforge, Ivan Dokmanic. (2018). "Separake: Source separation with a little help from echoes." Web.
1. Robin Scheibler, Diego Di Carlo, Antoine Deleforge, Ivan Dokmanic. Separake: Source separation with a little help from echoes [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3139

A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS

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Authors:
Bhusan Chettri, Bob L. Sturm
Submitted On:
22 April 2018 - 1:26pm
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icassp-2018-poster.pdf

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[1] Bhusan Chettri, Bob L. Sturm, "A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3136. Accessed: Nov. 13, 2018.
@article{3136-18,
url = {http://sigport.org/3136},
author = {Bhusan Chettri; Bob L. Sturm },
publisher = {IEEE SigPort},
title = {A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS},
year = {2018} }
TY - EJOUR
T1 - A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS
AU - Bhusan Chettri; Bob L. Sturm
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3136
ER -
Bhusan Chettri, Bob L. Sturm. (2018). A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS. IEEE SigPort. http://sigport.org/3136
Bhusan Chettri, Bob L. Sturm, 2018. A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS. Available at: http://sigport.org/3136.
Bhusan Chettri, Bob L. Sturm. (2018). "A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS." Web.
1. Bhusan Chettri, Bob L. Sturm. A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3136

ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION


Informed source separation (ISS) uses source separation for extracting audio objects out of their downmix given some pre-computed parameters. In recent years, non-negative tensor factorization (NTF) has proven to be a good choice for compressing audio objects at an encoding stage. At the decoding stage, these parameters are used to separate the downmix with Wiener-filtering. The quantized NTF parameters have to be encoded to a bitstream prior to transmission.

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Authors:
Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien
Submitted On:
22 April 2018 - 1:25pm
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BlRo2018_Poster_print.pdf

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[1] Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien, "ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3135. Accessed: Nov. 13, 2018.
@article{3135-18,
url = {http://sigport.org/3135},
author = {Max Bläser; Christian Rohlfing; Yingbo Gao; Mathias Wien },
publisher = {IEEE SigPort},
title = {ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION},
year = {2018} }
TY - EJOUR
T1 - ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION
AU - Max Bläser; Christian Rohlfing; Yingbo Gao; Mathias Wien
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3135
ER -
Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien. (2018). ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION. IEEE SigPort. http://sigport.org/3135
Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien, 2018. ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION. Available at: http://sigport.org/3135.
Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien. (2018). "ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION." Web.
1. Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien. ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3135

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