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Audio and Acoustic Signal Processing

Dialogue State Tracking with Convolutional Semantic Taggers


In this paper, we present our novel approach to the 6th Dialogue State Tracking Challenge (DSTC6) track for end-to-end goal-oriented dialogue, in which the goal is to select the best system response from among a list of candidates in a restaurant booking conversation. Our model uses a convolutional neural network (CNN) for semantic tagging of each utterance in the dialogue history to update the dialogue state, and another CNN for predicting the best system action template.

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Authors:
Mandy Korpusik, Jim Glass
Submitted On:
8 May 2019 - 9:58am
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icassp19.pdf

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[1] Mandy Korpusik, Jim Glass, "Dialogue State Tracking with Convolutional Semantic Taggers", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4113. Accessed: Jun. 06, 2020.
@article{4113-19,
url = {http://sigport.org/4113},
author = {Mandy Korpusik; Jim Glass },
publisher = {IEEE SigPort},
title = {Dialogue State Tracking with Convolutional Semantic Taggers},
year = {2019} }
TY - EJOUR
T1 - Dialogue State Tracking with Convolutional Semantic Taggers
AU - Mandy Korpusik; Jim Glass
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4113
ER -
Mandy Korpusik, Jim Glass. (2019). Dialogue State Tracking with Convolutional Semantic Taggers. IEEE SigPort. http://sigport.org/4113
Mandy Korpusik, Jim Glass, 2019. Dialogue State Tracking with Convolutional Semantic Taggers. Available at: http://sigport.org/4113.
Mandy Korpusik, Jim Glass. (2019). "Dialogue State Tracking with Convolutional Semantic Taggers." Web.
1. Mandy Korpusik, Jim Glass. Dialogue State Tracking with Convolutional Semantic Taggers [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4113

INCREMENTAL TRANSFER LEARNING IN TWO-PASS INFORMATION BOTTLENECK BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS


The two-pass information bottleneck (TPIB) based speaker diarization system operates independently on different conversational recordings. TPIB system does not consider previously learned speaker discriminative information while diarizing new conversations. Hence, the real time factor (RTF) of TPIB system is high owing to the training time required for the artificial neural network (ANN).

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Authors:
Srikanth Madikeri, C Chandra Sekhar, Hema A Murthy
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8 May 2019 - 9:21am
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[1] Srikanth Madikeri, C Chandra Sekhar, Hema A Murthy, "INCREMENTAL TRANSFER LEARNING IN TWO-PASS INFORMATION BOTTLENECK BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4092. Accessed: Jun. 06, 2020.
@article{4092-19,
url = {http://sigport.org/4092},
author = {Srikanth Madikeri; C Chandra Sekhar; Hema A Murthy },
publisher = {IEEE SigPort},
title = {INCREMENTAL TRANSFER LEARNING IN TWO-PASS INFORMATION BOTTLENECK BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS},
year = {2019} }
TY - EJOUR
T1 - INCREMENTAL TRANSFER LEARNING IN TWO-PASS INFORMATION BOTTLENECK BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS
AU - Srikanth Madikeri; C Chandra Sekhar; Hema A Murthy
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4092
ER -
Srikanth Madikeri, C Chandra Sekhar, Hema A Murthy. (2019). INCREMENTAL TRANSFER LEARNING IN TWO-PASS INFORMATION BOTTLENECK BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS. IEEE SigPort. http://sigport.org/4092
Srikanth Madikeri, C Chandra Sekhar, Hema A Murthy, 2019. INCREMENTAL TRANSFER LEARNING IN TWO-PASS INFORMATION BOTTLENECK BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS. Available at: http://sigport.org/4092.
Srikanth Madikeri, C Chandra Sekhar, Hema A Murthy. (2019). "INCREMENTAL TRANSFER LEARNING IN TWO-PASS INFORMATION BOTTLENECK BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS." Web.
1. Srikanth Madikeri, C Chandra Sekhar, Hema A Murthy. INCREMENTAL TRANSFER LEARNING IN TWO-PASS INFORMATION BOTTLENECK BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4092

Robust Room Equalization Using Sparse Sound-Field Reconstruction

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Authors:
Radoslaw Mazur, Fabrice Katzberg, and Alfred Mertins
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8 May 2019 - 7:53am
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[1] Radoslaw Mazur, Fabrice Katzberg, and Alfred Mertins, "Robust Room Equalization Using Sparse Sound-Field Reconstruction", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4078. Accessed: Jun. 06, 2020.
@article{4078-19,
url = {http://sigport.org/4078},
author = {Radoslaw Mazur; Fabrice Katzberg; and Alfred Mertins },
publisher = {IEEE SigPort},
title = {Robust Room Equalization Using Sparse Sound-Field Reconstruction},
year = {2019} }
TY - EJOUR
T1 - Robust Room Equalization Using Sparse Sound-Field Reconstruction
AU - Radoslaw Mazur; Fabrice Katzberg; and Alfred Mertins
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4078
ER -
Radoslaw Mazur, Fabrice Katzberg, and Alfred Mertins. (2019). Robust Room Equalization Using Sparse Sound-Field Reconstruction. IEEE SigPort. http://sigport.org/4078
Radoslaw Mazur, Fabrice Katzberg, and Alfred Mertins, 2019. Robust Room Equalization Using Sparse Sound-Field Reconstruction. Available at: http://sigport.org/4078.
Radoslaw Mazur, Fabrice Katzberg, and Alfred Mertins. (2019). "Robust Room Equalization Using Sparse Sound-Field Reconstruction." Web.
1. Radoslaw Mazur, Fabrice Katzberg, and Alfred Mertins. Robust Room Equalization Using Sparse Sound-Field Reconstruction [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4078

Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection


The paper introduces a hierarchy-aware loss function in a Deep Neural Network for an audio event detection task that has a bi-level tree structured label space. The goal is not only to improve audio event detection performance at all levels in the label hierarchy, but also to produce better audio embeddings. We exploit the label tree structure to preserve that information in the hierarchy-aware loss function. Two different loss functions are separately employed. First, a triplet loss with probabilistic multi-level batch mining is introduced.

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Authors:
Arindam Jati, Naveen Kumar, Ruxin Chen, Panayiotis Georgiou
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10 May 2019 - 1:02am
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[1] Arindam Jati, Naveen Kumar, Ruxin Chen, Panayiotis Georgiou, "Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4060. Accessed: Jun. 06, 2020.
@article{4060-19,
url = {http://sigport.org/4060},
author = {Arindam Jati; Naveen Kumar; Ruxin Chen; Panayiotis Georgiou },
publisher = {IEEE SigPort},
title = {Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection},
year = {2019} }
TY - EJOUR
T1 - Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection
AU - Arindam Jati; Naveen Kumar; Ruxin Chen; Panayiotis Georgiou
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4060
ER -
Arindam Jati, Naveen Kumar, Ruxin Chen, Panayiotis Georgiou. (2019). Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection. IEEE SigPort. http://sigport.org/4060
Arindam Jati, Naveen Kumar, Ruxin Chen, Panayiotis Georgiou, 2019. Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection. Available at: http://sigport.org/4060.
Arindam Jati, Naveen Kumar, Ruxin Chen, Panayiotis Georgiou. (2019). "Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection." Web.
1. Arindam Jati, Naveen Kumar, Ruxin Chen, Panayiotis Georgiou. Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4060

COMPUTATIONAL COGNITIVE ASSESSMENT: INVESTIGATING THE USE OF AN INTELLIGENT VIRTUAL AGENT FOR THE DETECTION OF EARLY SIGNS OF DEMENTIA


The ageing population has caused a marked increased in the number of people with cognitive decline linked with dementia. Thus, current diagnostic services are overstretched, and there is an urgent need for automating parts of the assessment process. In previous work, we demonstrated how a stratification tool built around an Intelligent Virtual Agent (IVA) eliciting a conversation by asking memory-probing questions, was able to accurately distinguish between people with a neuro-degenerative disorder (ND) and a functional memory disorder (FMD).

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Authors:
Bahman Mirheidari, Daniel Blackburn, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen
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8 May 2019 - 4:12am
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BM_Icassp2019_Poster.pdf

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[1] Bahman Mirheidari, Daniel Blackburn, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen, "COMPUTATIONAL COGNITIVE ASSESSMENT: INVESTIGATING THE USE OF AN INTELLIGENT VIRTUAL AGENT FOR THE DETECTION OF EARLY SIGNS OF DEMENTIA", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4046. Accessed: Jun. 06, 2020.
@article{4046-19,
url = {http://sigport.org/4046},
author = {Bahman Mirheidari; Daniel Blackburn; Ronan O'Malley; Traci Walker; Annalena Venneri; Markus Reuber; Heidi Christensen },
publisher = {IEEE SigPort},
title = {COMPUTATIONAL COGNITIVE ASSESSMENT: INVESTIGATING THE USE OF AN INTELLIGENT VIRTUAL AGENT FOR THE DETECTION OF EARLY SIGNS OF DEMENTIA},
year = {2019} }
TY - EJOUR
T1 - COMPUTATIONAL COGNITIVE ASSESSMENT: INVESTIGATING THE USE OF AN INTELLIGENT VIRTUAL AGENT FOR THE DETECTION OF EARLY SIGNS OF DEMENTIA
AU - Bahman Mirheidari; Daniel Blackburn; Ronan O'Malley; Traci Walker; Annalena Venneri; Markus Reuber; Heidi Christensen
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4046
ER -
Bahman Mirheidari, Daniel Blackburn, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen. (2019). COMPUTATIONAL COGNITIVE ASSESSMENT: INVESTIGATING THE USE OF AN INTELLIGENT VIRTUAL AGENT FOR THE DETECTION OF EARLY SIGNS OF DEMENTIA. IEEE SigPort. http://sigport.org/4046
Bahman Mirheidari, Daniel Blackburn, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen, 2019. COMPUTATIONAL COGNITIVE ASSESSMENT: INVESTIGATING THE USE OF AN INTELLIGENT VIRTUAL AGENT FOR THE DETECTION OF EARLY SIGNS OF DEMENTIA. Available at: http://sigport.org/4046.
Bahman Mirheidari, Daniel Blackburn, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen. (2019). "COMPUTATIONAL COGNITIVE ASSESSMENT: INVESTIGATING THE USE OF AN INTELLIGENT VIRTUAL AGENT FOR THE DETECTION OF EARLY SIGNS OF DEMENTIA." Web.
1. Bahman Mirheidari, Daniel Blackburn, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen. COMPUTATIONAL COGNITIVE ASSESSMENT: INVESTIGATING THE USE OF AN INTELLIGENT VIRTUAL AGENT FOR THE DETECTION OF EARLY SIGNS OF DEMENTIA [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4046

Overlap-Add Windows with Maximum Energy Concentration for Speech and Audio Processing


Processing of speech and audio signals with time-frequency representations require windowing methods which allow perfect reconstruction of the original signal and where processing artifacts have a predictable behavior. The most common approach for this purpose is overlap-add windowing, where signal segments are windowed before and after processing. Commonly used windows include the half-sine and a Kaiser-Bessel derived window. The latter is an approximation of the discrete prolate spherical sequence, and thus a maximum energy concentration window, adapted for overlap-add.

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8 May 2019 - 2:16am
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[1] , "Overlap-Add Windows with Maximum Energy Concentration for Speech and Audio Processing", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4019. Accessed: Jun. 06, 2020.
@article{4019-19,
url = {http://sigport.org/4019},
author = { },
publisher = {IEEE SigPort},
title = {Overlap-Add Windows with Maximum Energy Concentration for Speech and Audio Processing},
year = {2019} }
TY - EJOUR
T1 - Overlap-Add Windows with Maximum Energy Concentration for Speech and Audio Processing
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4019
ER -
. (2019). Overlap-Add Windows with Maximum Energy Concentration for Speech and Audio Processing. IEEE SigPort. http://sigport.org/4019
, 2019. Overlap-Add Windows with Maximum Energy Concentration for Speech and Audio Processing. Available at: http://sigport.org/4019.
. (2019). "Overlap-Add Windows with Maximum Energy Concentration for Speech and Audio Processing." Web.
1. . Overlap-Add Windows with Maximum Energy Concentration for Speech and Audio Processing [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4019

FINE-TUNING APPROACH TO NIR FACE RECOGNITION


Despite extensive researches for face recognition (FR), it is still difficult to apply deep CNN models to NIR FR due to a lack of training data. In this study, we propose a fine-tuning approach to allow deep CNN models to be applied to NIR FR with small training datasets. In the proposed approach, parameters of deep CNN models for RGB FR are utilized as initial parameters to train deep CNN models for NIR FR. The proposed approach has two main advantages: 1) High NIR FR performances can be achieved with very small public training datasets.

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Authors:
Jeyeon Kim, Hoon Jo, Moonsoo Ra, Whoi-Yul Kim
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10 May 2019 - 3:10am
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Fine-tuning approach to NIR face recognition_ICASSP_2019_jykim_horizontal_pdf_ver.pdf

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[1] Jeyeon Kim, Hoon Jo, Moonsoo Ra, Whoi-Yul Kim, "FINE-TUNING APPROACH TO NIR FACE RECOGNITION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4010. Accessed: Jun. 06, 2020.
@article{4010-19,
url = {http://sigport.org/4010},
author = {Jeyeon Kim; Hoon Jo; Moonsoo Ra; Whoi-Yul Kim },
publisher = {IEEE SigPort},
title = {FINE-TUNING APPROACH TO NIR FACE RECOGNITION},
year = {2019} }
TY - EJOUR
T1 - FINE-TUNING APPROACH TO NIR FACE RECOGNITION
AU - Jeyeon Kim; Hoon Jo; Moonsoo Ra; Whoi-Yul Kim
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4010
ER -
Jeyeon Kim, Hoon Jo, Moonsoo Ra, Whoi-Yul Kim. (2019). FINE-TUNING APPROACH TO NIR FACE RECOGNITION. IEEE SigPort. http://sigport.org/4010
Jeyeon Kim, Hoon Jo, Moonsoo Ra, Whoi-Yul Kim, 2019. FINE-TUNING APPROACH TO NIR FACE RECOGNITION. Available at: http://sigport.org/4010.
Jeyeon Kim, Hoon Jo, Moonsoo Ra, Whoi-Yul Kim. (2019). "FINE-TUNING APPROACH TO NIR FACE RECOGNITION." Web.
1. Jeyeon Kim, Hoon Jo, Moonsoo Ra, Whoi-Yul Kim. FINE-TUNING APPROACH TO NIR FACE RECOGNITION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4010

DIFFERENTIALLY PRIVATE GREEDY DECISION FOREST

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7 May 2019 - 10:40pm
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2019-ICASSP-XinBangzhou-Paper#2940-poster.pdf

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[1] , "DIFFERENTIALLY PRIVATE GREEDY DECISION FOREST", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3995. Accessed: Jun. 06, 2020.
@article{3995-19,
url = {http://sigport.org/3995},
author = { },
publisher = {IEEE SigPort},
title = {DIFFERENTIALLY PRIVATE GREEDY DECISION FOREST},
year = {2019} }
TY - EJOUR
T1 - DIFFERENTIALLY PRIVATE GREEDY DECISION FOREST
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3995
ER -
. (2019). DIFFERENTIALLY PRIVATE GREEDY DECISION FOREST. IEEE SigPort. http://sigport.org/3995
, 2019. DIFFERENTIALLY PRIVATE GREEDY DECISION FOREST. Available at: http://sigport.org/3995.
. (2019). "DIFFERENTIALLY PRIVATE GREEDY DECISION FOREST." Web.
1. . DIFFERENTIALLY PRIVATE GREEDY DECISION FOREST [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3995

COMPACT CONVOLUTIONAL RECURRENT NEURAL NETWORKS VIA BINARIZATION FOR SPEECH EMOTION RECOGNITION


Despite the great advances, most of the recently developed automatic speech recognition systems focus on working in a server-client manner, and thus often require a high computational cost, such as the storage size and memory accesses. This, however, does not satisfy the increasing demand for a succinct model that can run smoothly in embedded devices like smartphones.

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Authors:
Huan Zhao, Yufeng Xiao, Jing Han, Zixing Zhang
Submitted On:
7 May 2019 - 7:10pm
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[1] Huan Zhao, Yufeng Xiao, Jing Han, Zixing Zhang, "COMPACT CONVOLUTIONAL RECURRENT NEURAL NETWORKS VIA BINARIZATION FOR SPEECH EMOTION RECOGNITION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3967. Accessed: Jun. 06, 2020.
@article{3967-19,
url = {http://sigport.org/3967},
author = {Huan Zhao; Yufeng Xiao; Jing Han; Zixing Zhang },
publisher = {IEEE SigPort},
title = {COMPACT CONVOLUTIONAL RECURRENT NEURAL NETWORKS VIA BINARIZATION FOR SPEECH EMOTION RECOGNITION},
year = {2019} }
TY - EJOUR
T1 - COMPACT CONVOLUTIONAL RECURRENT NEURAL NETWORKS VIA BINARIZATION FOR SPEECH EMOTION RECOGNITION
AU - Huan Zhao; Yufeng Xiao; Jing Han; Zixing Zhang
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3967
ER -
Huan Zhao, Yufeng Xiao, Jing Han, Zixing Zhang. (2019). COMPACT CONVOLUTIONAL RECURRENT NEURAL NETWORKS VIA BINARIZATION FOR SPEECH EMOTION RECOGNITION. IEEE SigPort. http://sigport.org/3967
Huan Zhao, Yufeng Xiao, Jing Han, Zixing Zhang, 2019. COMPACT CONVOLUTIONAL RECURRENT NEURAL NETWORKS VIA BINARIZATION FOR SPEECH EMOTION RECOGNITION. Available at: http://sigport.org/3967.
Huan Zhao, Yufeng Xiao, Jing Han, Zixing Zhang. (2019). "COMPACT CONVOLUTIONAL RECURRENT NEURAL NETWORKS VIA BINARIZATION FOR SPEECH EMOTION RECOGNITION." Web.
1. Huan Zhao, Yufeng Xiao, Jing Han, Zixing Zhang. COMPACT CONVOLUTIONAL RECURRENT NEURAL NETWORKS VIA BINARIZATION FOR SPEECH EMOTION RECOGNITION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3967

ICASSP 2019 Poster (TRANSMISSION LINE COCHLEAR MODEL BASED AM-FM FEATURES FOR REPLAY ATTACK DETECTION)

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Authors:
Tharshini Gunendradasan, Saad Irtza, Eliathamby Ambikairajah, Julien Epps
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7 May 2019 - 6:58pm
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[1] Tharshini Gunendradasan, Saad Irtza, Eliathamby Ambikairajah, Julien Epps, "ICASSP 2019 Poster (TRANSMISSION LINE COCHLEAR MODEL BASED AM-FM FEATURES FOR REPLAY ATTACK DETECTION)", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3966. Accessed: Jun. 06, 2020.
@article{3966-19,
url = {http://sigport.org/3966},
author = {Tharshini Gunendradasan; Saad Irtza; Eliathamby Ambikairajah; Julien Epps },
publisher = {IEEE SigPort},
title = {ICASSP 2019 Poster (TRANSMISSION LINE COCHLEAR MODEL BASED AM-FM FEATURES FOR REPLAY ATTACK DETECTION)},
year = {2019} }
TY - EJOUR
T1 - ICASSP 2019 Poster (TRANSMISSION LINE COCHLEAR MODEL BASED AM-FM FEATURES FOR REPLAY ATTACK DETECTION)
AU - Tharshini Gunendradasan; Saad Irtza; Eliathamby Ambikairajah; Julien Epps
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3966
ER -
Tharshini Gunendradasan, Saad Irtza, Eliathamby Ambikairajah, Julien Epps. (2019). ICASSP 2019 Poster (TRANSMISSION LINE COCHLEAR MODEL BASED AM-FM FEATURES FOR REPLAY ATTACK DETECTION). IEEE SigPort. http://sigport.org/3966
Tharshini Gunendradasan, Saad Irtza, Eliathamby Ambikairajah, Julien Epps, 2019. ICASSP 2019 Poster (TRANSMISSION LINE COCHLEAR MODEL BASED AM-FM FEATURES FOR REPLAY ATTACK DETECTION). Available at: http://sigport.org/3966.
Tharshini Gunendradasan, Saad Irtza, Eliathamby Ambikairajah, Julien Epps. (2019). "ICASSP 2019 Poster (TRANSMISSION LINE COCHLEAR MODEL BASED AM-FM FEATURES FOR REPLAY ATTACK DETECTION)." Web.
1. Tharshini Gunendradasan, Saad Irtza, Eliathamby Ambikairajah, Julien Epps. ICASSP 2019 Poster (TRANSMISSION LINE COCHLEAR MODEL BASED AM-FM FEATURES FOR REPLAY ATTACK DETECTION) [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3966

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