Sorry, you need to enable JavaScript to visit this website.

Audio and Acoustic Signal Processing

POLYPHONIC SOUND EVENT DETECTION USING CONVOLUTIONAL BIDIRECTIONAL LSTM AND SYNTHETIC DATA-BASED TRANSFER LEARNING

Paper Details

Authors:
Submitted On:
9 May 2019 - 3:23am
Short Link:
Type:

Document Files

ICASSP_Poster_인쇄본.pdf

(12)

Subscribe

[1] , "POLYPHONIC SOUND EVENT DETECTION USING CONVOLUTIONAL BIDIRECTIONAL LSTM AND SYNTHETIC DATA-BASED TRANSFER LEARNING", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4163. Accessed: Aug. 23, 2019.
@article{4163-19,
url = {http://sigport.org/4163},
author = { },
publisher = {IEEE SigPort},
title = {POLYPHONIC SOUND EVENT DETECTION USING CONVOLUTIONAL BIDIRECTIONAL LSTM AND SYNTHETIC DATA-BASED TRANSFER LEARNING},
year = {2019} }
TY - EJOUR
T1 - POLYPHONIC SOUND EVENT DETECTION USING CONVOLUTIONAL BIDIRECTIONAL LSTM AND SYNTHETIC DATA-BASED TRANSFER LEARNING
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4163
ER -
. (2019). POLYPHONIC SOUND EVENT DETECTION USING CONVOLUTIONAL BIDIRECTIONAL LSTM AND SYNTHETIC DATA-BASED TRANSFER LEARNING. IEEE SigPort. http://sigport.org/4163
, 2019. POLYPHONIC SOUND EVENT DETECTION USING CONVOLUTIONAL BIDIRECTIONAL LSTM AND SYNTHETIC DATA-BASED TRANSFER LEARNING. Available at: http://sigport.org/4163.
. (2019). "POLYPHONIC SOUND EVENT DETECTION USING CONVOLUTIONAL BIDIRECTIONAL LSTM AND SYNTHETIC DATA-BASED TRANSFER LEARNING." Web.
1. . POLYPHONIC SOUND EVENT DETECTION USING CONVOLUTIONAL BIDIRECTIONAL LSTM AND SYNTHETIC DATA-BASED TRANSFER LEARNING [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4163

SPEAKER AGNOSTIC FOREGROUND SPEECH DETECTION FROM AUDIO RECORDINGS 
IN WORKPLACE SETTINGS FROM WEARABLE RECORDERS



Audio-signal acquisition as part of wearable sensing adds an important dimension for applications such as understanding human behaviors. As part of a large study on work place behaviors, we collected audio data from individual hospital staff using custom wearable recorders. The audio features collected were limited to preserve privacy of the interactions in the hospital. A first step towards audio processing is to identify the foreground speech of the person wearing the audio badge.

Paper Details

Authors:
Amrutha Nadarajan, Krishna Somandepalli, Shrikanth S. Narayanan
Submitted On:
9 May 2019 - 12:29am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

SPEAKER AGNOSTIC FOREGROUND SPEECH DETECTION FROM AUDIO RECORDINGS 
IN WORKPLACE SETTINGS FROM WEARABLE RECORDERS


(26)

Subscribe

[1] Amrutha Nadarajan, Krishna Somandepalli, Shrikanth S. Narayanan, "SPEAKER AGNOSTIC FOREGROUND SPEECH DETECTION FROM AUDIO RECORDINGS 
IN WORKPLACE SETTINGS FROM WEARABLE RECORDERS
", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4146. Accessed: Aug. 23, 2019.
@article{4146-19,
url = {http://sigport.org/4146},
author = {Amrutha Nadarajan; Krishna Somandepalli; Shrikanth S. Narayanan },
publisher = {IEEE SigPort},
title = {SPEAKER AGNOSTIC FOREGROUND SPEECH DETECTION FROM AUDIO RECORDINGS 
IN WORKPLACE SETTINGS FROM WEARABLE RECORDERS
},
year = {2019} }
TY - EJOUR
T1 - SPEAKER AGNOSTIC FOREGROUND SPEECH DETECTION FROM AUDIO RECORDINGS 
IN WORKPLACE SETTINGS FROM WEARABLE RECORDERS

AU - Amrutha Nadarajan; Krishna Somandepalli; Shrikanth S. Narayanan
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4146
ER -
Amrutha Nadarajan, Krishna Somandepalli, Shrikanth S. Narayanan. (2019). SPEAKER AGNOSTIC FOREGROUND SPEECH DETECTION FROM AUDIO RECORDINGS 
IN WORKPLACE SETTINGS FROM WEARABLE RECORDERS
. IEEE SigPort. http://sigport.org/4146
Amrutha Nadarajan, Krishna Somandepalli, Shrikanth S. Narayanan, 2019. SPEAKER AGNOSTIC FOREGROUND SPEECH DETECTION FROM AUDIO RECORDINGS 
IN WORKPLACE SETTINGS FROM WEARABLE RECORDERS
. Available at: http://sigport.org/4146.
Amrutha Nadarajan, Krishna Somandepalli, Shrikanth S. Narayanan. (2019). "SPEAKER AGNOSTIC FOREGROUND SPEECH DETECTION FROM AUDIO RECORDINGS 
IN WORKPLACE SETTINGS FROM WEARABLE RECORDERS
." Web.
1. Amrutha Nadarajan, Krishna Somandepalli, Shrikanth S. Narayanan. SPEAKER AGNOSTIC FOREGROUND SPEECH DETECTION FROM AUDIO RECORDINGS 
IN WORKPLACE SETTINGS FROM WEARABLE RECORDERS
 [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4146

EMBEDDING PHYSICAL AUGMENTATION AND WAVELET SCATTERING TRANSFORM TO GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO CLASSIFICATION WITH LIMITED TRAINING RESOURCES


This paper addresses audio classification with limited training resources. We first investigate different types of data augmentation including physical modeling, wavelet scattering transform and Generative Adversarial Networks (GAN). We than propose a novel GAN which allows embedding of physical augmentation and wavelet scattering transform in processing. The experimental results on Google Speech Command show significant improvements of the proposed method when training with limited resources.

Paper Details

Authors:
Tran Huy Dat
Submitted On:
8 May 2019 - 10:38pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

Audio Classification, Limited Training, Augmentation, Generative Adversarial Networks

(20)

Subscribe

[1] Tran Huy Dat, "EMBEDDING PHYSICAL AUGMENTATION AND WAVELET SCATTERING TRANSFORM TO GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO CLASSIFICATION WITH LIMITED TRAINING RESOURCES", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4142. Accessed: Aug. 23, 2019.
@article{4142-19,
url = {http://sigport.org/4142},
author = {Tran Huy Dat },
publisher = {IEEE SigPort},
title = {EMBEDDING PHYSICAL AUGMENTATION AND WAVELET SCATTERING TRANSFORM TO GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO CLASSIFICATION WITH LIMITED TRAINING RESOURCES},
year = {2019} }
TY - EJOUR
T1 - EMBEDDING PHYSICAL AUGMENTATION AND WAVELET SCATTERING TRANSFORM TO GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO CLASSIFICATION WITH LIMITED TRAINING RESOURCES
AU - Tran Huy Dat
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4142
ER -
Tran Huy Dat. (2019). EMBEDDING PHYSICAL AUGMENTATION AND WAVELET SCATTERING TRANSFORM TO GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO CLASSIFICATION WITH LIMITED TRAINING RESOURCES. IEEE SigPort. http://sigport.org/4142
Tran Huy Dat, 2019. EMBEDDING PHYSICAL AUGMENTATION AND WAVELET SCATTERING TRANSFORM TO GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO CLASSIFICATION WITH LIMITED TRAINING RESOURCES. Available at: http://sigport.org/4142.
Tran Huy Dat. (2019). "EMBEDDING PHYSICAL AUGMENTATION AND WAVELET SCATTERING TRANSFORM TO GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO CLASSIFICATION WITH LIMITED TRAINING RESOURCES." Web.
1. Tran Huy Dat. EMBEDDING PHYSICAL AUGMENTATION AND WAVELET SCATTERING TRANSFORM TO GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO CLASSIFICATION WITH LIMITED TRAINING RESOURCES [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4142

MULTI-BAND PIT AND MODEL INTEGRATION FOR IMPROVED MULTI-CHANNEL SPEECH SEPARATION

Paper Details

Authors:
Submitted On:
8 May 2019 - 10:14pm
Short Link:
Type:
Event:
Document Year:
Cite

Document Files

Poster_for_multiband_PIT.pdf

(30)

Subscribe

[1] , "MULTI-BAND PIT AND MODEL INTEGRATION FOR IMPROVED MULTI-CHANNEL SPEECH SEPARATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4141. Accessed: Aug. 23, 2019.
@article{4141-19,
url = {http://sigport.org/4141},
author = { },
publisher = {IEEE SigPort},
title = {MULTI-BAND PIT AND MODEL INTEGRATION FOR IMPROVED MULTI-CHANNEL SPEECH SEPARATION},
year = {2019} }
TY - EJOUR
T1 - MULTI-BAND PIT AND MODEL INTEGRATION FOR IMPROVED MULTI-CHANNEL SPEECH SEPARATION
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4141
ER -
. (2019). MULTI-BAND PIT AND MODEL INTEGRATION FOR IMPROVED MULTI-CHANNEL SPEECH SEPARATION. IEEE SigPort. http://sigport.org/4141
, 2019. MULTI-BAND PIT AND MODEL INTEGRATION FOR IMPROVED MULTI-CHANNEL SPEECH SEPARATION. Available at: http://sigport.org/4141.
. (2019). "MULTI-BAND PIT AND MODEL INTEGRATION FOR IMPROVED MULTI-CHANNEL SPEECH SEPARATION." Web.
1. . MULTI-BAND PIT AND MODEL INTEGRATION FOR IMPROVED MULTI-CHANNEL SPEECH SEPARATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4141

Point Cloud Segmentation using Hierarchical Tree for Architectural Models.


Over the past few years, gathering massive volume of 3D data has become straightforward due to the proliferation of laser scanners and acquisition devices. Segmentation of such large data into meaningful segments, however, remains a challenge. Raw scans usually have missing data and varying density. In this work, we present a simple yet effective method to semantically decompose and reconstruct 3D models from point clouds. Using a hierarchical tree approach, we segment and reconstruct planar as well as non-planar scenes in an outdoor environment.

Paper Details

Authors:
Omair Hassaan, Abeera Shamail, Zain Butt, Murtaza Taj
Submitted On:
8 May 2019 - 2:36pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ICASSP_POSTER.pdf

(21)

Subscribe

[1] Omair Hassaan, Abeera Shamail, Zain Butt, Murtaza Taj, "Point Cloud Segmentation using Hierarchical Tree for Architectural Models.", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4129. Accessed: Aug. 23, 2019.
@article{4129-19,
url = {http://sigport.org/4129},
author = {Omair Hassaan; Abeera Shamail; Zain Butt; Murtaza Taj },
publisher = {IEEE SigPort},
title = {Point Cloud Segmentation using Hierarchical Tree for Architectural Models.},
year = {2019} }
TY - EJOUR
T1 - Point Cloud Segmentation using Hierarchical Tree for Architectural Models.
AU - Omair Hassaan; Abeera Shamail; Zain Butt; Murtaza Taj
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4129
ER -
Omair Hassaan, Abeera Shamail, Zain Butt, Murtaza Taj. (2019). Point Cloud Segmentation using Hierarchical Tree for Architectural Models.. IEEE SigPort. http://sigport.org/4129
Omair Hassaan, Abeera Shamail, Zain Butt, Murtaza Taj, 2019. Point Cloud Segmentation using Hierarchical Tree for Architectural Models.. Available at: http://sigport.org/4129.
Omair Hassaan, Abeera Shamail, Zain Butt, Murtaza Taj. (2019). "Point Cloud Segmentation using Hierarchical Tree for Architectural Models.." Web.
1. Omair Hassaan, Abeera Shamail, Zain Butt, Murtaza Taj. Point Cloud Segmentation using Hierarchical Tree for Architectural Models. [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4129

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.

Paper Details

Authors:
Mandy Korpusik, Jim Glass
Submitted On:
8 May 2019 - 9:58am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

icassp19.pdf

(27)

Subscribe

[1] Mandy Korpusik, Jim Glass, "Dialogue State Tracking with Convolutional Semantic Taggers", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4113. Accessed: Aug. 23, 2019.
@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).

Paper Details

Authors:
Srikanth Madikeri, C Chandra Sekhar, Hema A Murthy
Submitted On:
8 May 2019 - 9:21am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

icassp2019_sd_poster.pdf

(16)

Subscribe

[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: Aug. 23, 2019.
@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

Paper Details

Authors:
Radoslaw Mazur, Fabrice Katzberg, and Alfred Mertins
Submitted On:
8 May 2019 - 7:53am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

MazurKatzberg_RobustRoomEqual.pdf

(11)

Subscribe

[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: Aug. 23, 2019.
@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.

Paper Details

Authors:
Arindam Jati, Naveen Kumar, Ruxin Chen, Panayiotis Georgiou
Submitted On:
10 May 2019 - 1:02am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

icassp_arindam_hierarchy.pptx

(27)

Subscribe

[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: Aug. 23, 2019.
@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).

Paper Details

Authors:
Bahman Mirheidari, Daniel Blackburn, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen
Submitted On:
8 May 2019 - 4:12am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

BM_Icassp2019_Poster.pdf

(17)

Subscribe

[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: Aug. 23, 2019.
@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

Pages