Functional Near-Infrared Spectroscopy Feature Extraction with Application in Workload Estimation
Elisabeth R. M. Heremans, David Johnston, Dimitra Emmanouilidou, Andre Golard, Ivan Tashev, Ryen White
ICASSP | April 2025
Dimitra Emmanouilidou
Senior Researcher
Papiers de Collaboration
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Domain mismatch and data augmentation in speech emotion recognition
Dimitra Emmanouilidou, Hannes Gamper, Midia Yousefi
SMM24, Interspeech Workshop on Speech, Music and Mind 2024 | September 2024
-
Adapting Frechet Audio Distance for Generative Music Evaluation
Azalea Gui, Hannes Gamper, Sebastian Braun, Dimitra Emmanouilidou
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | April 2024
Best student paper award at IEEE ICASSP 2024
-
Training Audio Captioning Models without Audio
Soham Deshmukh, Benjamin Elizalde, Dimitra Emmanouilidou, Bhiksha Raj, Rita Singh, Huaming Wang
2024 International Conference on Acoustics, Speech, and Signal Processing | April 2024
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-
-
Multi-View Learning for Speech Emotion Recognition
Daniel Tompkins, Dimitra Emmanouilidou, Soham Deshmukh, Benjamin Elizalde
International Conference on Acoustics, Speech and Signal Processing | June 2023
-
Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics
Sandeep Kothinti, Dimitra Emmanouilidou
European Signal Processing Conference (EUSIPCO) | May 2023
-
On the Effect of Size and Contrast of the SSVEP Visual Stimuations on Classification Accuracy and User-Friendliness in Virtual Reality
Hakim Si-Mohammed, Christian Holz, Andrew D. Wilson, Hannes Gamper, Adrian KC Lee, Dimitra Emmanouilidou, Ed Cutrell, Ivan Tashev
International Winter Conference on Brain-Computer Interface | February 2023
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-
-
Acoustics as a guide to welding quality
The Journal of the Acoustical Society of America | December 2022, Vol 152(4): pp. A142
-
Periodic motion-based visual stimulus
Andrew D. Wilson, Ivan Tashev, Hannes Gamper, Ed Cutrell, David Johnston, Dimitra Emmanouilidou
MSR-TR-2022-37 | November 2022
Publié par Microsoft
US-20220365599-A1
-
Toxic Speech and Speech Emotions: Investigations of Audio-based Modeling and Intercorrelations
Wei-Cheng Lin, Dimitra Emmanouilidou
European Signal Processing Conference (EUSIPCO) | August 2022
-
Investigating Visual Imagery as a BCI Control Strategy: A Pilot Study
Justin Kilmarx, Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Ed Cutrell, Andrew D. Wilson, Ivan Tashev
February 2022
-
-
-
Detection of Robocall and Spam Calls using Acoustic Features of Incoming Voicemails
Benjamin Elizalde, Dimitra Emmanouilidou
Proc. Mtgs. Acoust | December 2021
-
Audio-Based SPAM Call Detection
Benjamin M Elizalde , Dimitra Emmanouilidou
The Journal of the Acoustical Society of America | December 2021, Vol 150(4): pp. A357-A357
Acoustical Society of America
-
Audio-based Toxic Language Classification using Self-attentive Convolutional Neural Network
Midia Yousefi, Dimitra Emmanouilidou
2021 29th European Signal Processing Conference (EUSIPCO) | August 2021
-
Decoding Music Attention from “EEG Headphones”: A User-Friendly Auditory Brain-Computer Interface
Winko W. An, Barbara Shinn-Cunningham, Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Mihai Jalobeanu, Ed Cutrell, Andrew D. Wilson, Kuan-Jung Chiang, Ivan Tashev
ICASSP 2021 | June 2021
-
A Closed-loop Adaptive Brain-computer Interface Framework: Improving the Classifier with the Use of Error-related Potentials
Kuan-Jung Chiang, Dimitra Emmanouilidou, Hannes Gamper, David Johnston, Mihai Jalobeanu, Ed Cutrell, Andrew D. Wilson, Winko An, Ivan Tashev
International IEEE/EMBS Conference on Neural Engineering | May 2021
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-
-
Electronic Stethoscope Filtering Mimics the Perceived Sound Characteristics of Acoustic Stethoscope
IEEE Journal of Biomedical and Health Informatics | September 2020, pp. 1-1
-
Sentiment Detection from Speech Recognition Output
Ivan Tashev, Dimitra Emmanouilidou
Engineering Sciences | July 2020, Vol LVII(2)
-
Predicting Word Error Rate for Reverberant Speech
Hannes Gamper, Dimitra Emmanouilidou, Sebastian Braun, Ivan Tashev
International Conference on Acoustics, Speech and Signal Processing (ICASSP) | May 2020
-
Supervised Deep Hashing for Efficient Audio Event Retrieval
Arindam Jati, Dimitra Emmanouilidou
2020 International Conference on Acoustics, Speech, and Signal Processing | May 2020
-
Decoding auditory and tactile attention for use in an EEG-based brain-computer interface
Winko W. An, Hakim Si-Mohammed, Nicholas Huang, Hannes Gamper, Adrian KC Lee, Christian Holz, David Johnston, Mihai Jalobeanu, Dimitra Emmanouilidou, Ed Cutrell, Andrew D. Wilson, Ivan Tashev
International Winter Conference on Brain-Computer Interface | February 2020
-
-
-
Sentiment Detection from ASR Output
Ivan Tashev, Dimitra Emmanouilidou
International Conference on Information Technologies | September 2019
-
The effect of room acoustics on audio event classification
Dimitra Emmanouilidou, Hannes Gamper
Proc. 23rd International Congress on Acoustics (ICA) | September 2019
-
CURE Dataset: Ladder Networks for Audio Event Classification
Harishchandra Dubey, Dimitra Emmanouilidou, Ivan Tashev
2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim) | August 2019
-
-
-
Listening panel agreement and characteristics of lung sounds digitally recorded from children aged 1–59 months enrolled in the pneumonia etiology research for child health (PERCH) case–control study
BMJ Open Respiratory Research | January 2017, Vol 4
-
Computerized Lung Sound Screening for Pediatric Auscultation in Noisy Field Environments
IEEE Transactions on Biomedical Engineering | January 2017, Vol 2017
-
-
-
Rich Representation Spaces: Benefits in Digital Auscultation Signal Analysis
Signal Processing Systems | October 2016
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-
-
Adaptive Noise Suppression of Pediatric Lung Auscultations With Real Applications to Noisy Clinical Settings in Developing Countries
IEEE Transactions on Biomedical Engineering | September 2015, Vol 62: pp. 2279-2288
-
-
-
Developing a Reference of Normal Lung Sounds in Healthy Peruvian Children
LUNG | January 2014, Vol 192: pp. 765-773
-
-
-
Characterization of noise contaminations in lung sound recordings
International Conference of the IEEE Engineering in Medicine and Biology Society | July 2013
-
-
-
A multiresolution analysis for detection of abnormal lung sounds
International Conference of the IEEE Engineering in Medicine and Biology Society | August 2012
-
-
-
A fully automated image analysis framework for quantitative assessment of temporal tumor changes
E-Health and Bioengineering Conference | November 2011
-
-
-
Decision support in heart failure through processing of electro- and echocardiograms
Artificial Intelligence in Medicine | June 2010, Vol 50: pp. 95-104
-
-
-
A Decision Support System for Aiding Heart Failure Management
Intelligent Systems Design and Applications | November 2009
-
-
-
ECG and echocardiography processing for decision support in heart failure
Computing in Cardiology Conference | September 2008
-
Morphological classification of heartbeats using similarity features and a two-phase decision tree
Computing in Cardiology Conference | September 2008
-
Biomedical Signal and Image Processing for Decision Support in Heart Failure
International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, and Chemistry | July 2008
-
-
-
Adaptive threshold QRS detector with best channel selection based on a noise rating system
Computing in Cardiology Conference | September 2007
-
-
-
Functional Near-Infrared Spectroscopy Feature Extraction with Application in Workload Estimation
Elisabeth R. M. Heremans, David Johnston, Dimitra Emmanouilidou, Andre Golard, Ivan Tashev, Ryen White
ICASSP | April 2025
-
Domain mismatch and data augmentation in speech emotion recognition
Dimitra Emmanouilidou, Hannes Gamper, Midia Yousefi
SMM24, Interspeech Workshop on Speech, Music and Mind 2024 | September 2024
-
Adapting Frechet Audio Distance for Generative Music Evaluation
Azalea Gui, Hannes Gamper, Sebastian Braun, Dimitra Emmanouilidou
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | April 2024
Best student paper award at IEEE ICASSP 2024
-
Training Audio Captioning Models without Audio
Soham Deshmukh, Benjamin Elizalde, Dimitra Emmanouilidou, Bhiksha Raj, Rita Singh, Huaming Wang
2024 International Conference on Acoustics, Speech, and Signal Processing | April 2024
-
Multi-View Learning for Speech Emotion Recognition
Daniel Tompkins, Dimitra Emmanouilidou, Soham Deshmukh, Benjamin Elizalde
International Conference on Acoustics, Speech and Signal Processing | June 2023
-
Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics
Sandeep Kothinti, Dimitra Emmanouilidou
European Signal Processing Conference (EUSIPCO) | May 2023
-
Acoustics as a guide to welding quality
The Journal of the Acoustical Society of America | December 2022, Vol 152(4): pp. A142
-
Toxic Speech and Speech Emotions: Investigations of Audio-based Modeling and Intercorrelations
Wei-Cheng Lin, Dimitra Emmanouilidou
European Signal Processing Conference (EUSIPCO) | August 2022
-
Detection of Robocall and Spam Calls using Acoustic Features of Incoming Voicemails
Benjamin Elizalde, Dimitra Emmanouilidou
Proc. Mtgs. Acoust | December 2021
-
Audio-Based SPAM Call Detection
Benjamin M Elizalde , Dimitra Emmanouilidou
The Journal of the Acoustical Society of America | December 2021, Vol 150(4): pp. A357-A357
Acoustical Society of America
-
Audio-based Toxic Language Classification using Self-attentive Convolutional Neural Network
Midia Yousefi, Dimitra Emmanouilidou
2021 29th European Signal Processing Conference (EUSIPCO) | August 2021
-
Decoding Music Attention from “EEG Headphones”: A User-Friendly Auditory Brain-Computer Interface
Winko W. An, Barbara Shinn-Cunningham, Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Mihai Jalobeanu, Ed Cutrell, Andrew D. Wilson, Kuan-Jung Chiang, Ivan Tashev
ICASSP 2021 | June 2021
-
Sentiment Detection from Speech Recognition Output
Ivan Tashev, Dimitra Emmanouilidou
Engineering Sciences | July 2020, Vol LVII(2)
-
Predicting Word Error Rate for Reverberant Speech
Hannes Gamper, Dimitra Emmanouilidou, Sebastian Braun, Ivan Tashev
International Conference on Acoustics, Speech and Signal Processing (ICASSP) | May 2020
-
Supervised Deep Hashing for Efficient Audio Event Retrieval
Arindam Jati, Dimitra Emmanouilidou
2020 International Conference on Acoustics, Speech, and Signal Processing | May 2020
-
Decoding auditory and tactile attention for use in an EEG-based brain-computer interface
Winko W. An, Hakim Si-Mohammed, Nicholas Huang, Hannes Gamper, Adrian KC Lee, Christian Holz, David Johnston, Mihai Jalobeanu, Dimitra Emmanouilidou, Ed Cutrell, Andrew D. Wilson, Ivan Tashev
International Winter Conference on Brain-Computer Interface | February 2020
-
Sentiment Detection from ASR Output
Ivan Tashev, Dimitra Emmanouilidou
International Conference on Information Technologies | September 2019
-
The effect of room acoustics on audio event classification
Dimitra Emmanouilidou, Hannes Gamper
Proc. 23rd International Congress on Acoustics (ICA) | September 2019
-
CURE Dataset: Ladder Networks for Audio Event Classification
Harishchandra Dubey, Dimitra Emmanouilidou, Ivan Tashev
2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim) | August 2019
-
-
-
Functional Near-Infrared Spectroscopy Feature Extraction with Application in Workload Estimation
Elisabeth R. M. Heremans, David Johnston, Dimitra Emmanouilidou, Andre Golard, Ivan Tashev, Ryen White
ICASSP | April 2025
-
On the Effect of Size and Contrast of the SSVEP Visual Stimuations on Classification Accuracy and User-Friendliness in Virtual Reality
Hakim Si-Mohammed, Christian Holz, Andrew D. Wilson, Hannes Gamper, Adrian KC Lee, Dimitra Emmanouilidou, Ed Cutrell, Ivan Tashev
International Winter Conference on Brain-Computer Interface | February 2023
-
-
-
Functional Near-Infrared Spectroscopy Feature Extraction with Application in Workload Estimation
Elisabeth R. M. Heremans, David Johnston, Dimitra Emmanouilidou, Andre Golard, Ivan Tashev, Ryen White
ICASSP | April 2025
-
On the Effect of Size and Contrast of the SSVEP Visual Stimuations on Classification Accuracy and User-Friendliness in Virtual Reality
Hakim Si-Mohammed, Christian Holz, Andrew D. Wilson, Hannes Gamper, Adrian KC Lee, Dimitra Emmanouilidou, Ed Cutrell, Ivan Tashev
International Winter Conference on Brain-Computer Interface | February 2023
-
Periodic motion-based visual stimulus
Andrew D. Wilson, Ivan Tashev, Hannes Gamper, Ed Cutrell, David Johnston, Dimitra Emmanouilidou
MSR-TR-2022-37 | November 2022
Publié par Microsoft
US-20220365599-A1
-
Decoding Music Attention from “EEG Headphones”: A User-Friendly Auditory Brain-Computer Interface
Winko W. An, Barbara Shinn-Cunningham, Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Mihai Jalobeanu, Ed Cutrell, Andrew D. Wilson, Kuan-Jung Chiang, Ivan Tashev
ICASSP 2021 | June 2021
-
-
-
Training Audio Captioning Models without Audio
Soham Deshmukh, Benjamin Elizalde, Dimitra Emmanouilidou, Bhiksha Raj, Rita Singh, Huaming Wang
2024 International Conference on Acoustics, Speech, and Signal Processing | April 2024
-
-
-
Periodic motion-based visual stimulus
Andrew D. Wilson, Ivan Tashev, Hannes Gamper, Ed Cutrell, David Johnston, Dimitra Emmanouilidou
MSR-TR-2022-37 | November 2022
Publié par Microsoft
US-20220365599-A1
-
Electronic Stethoscope Filtering Mimics the Perceived Sound Characteristics of Acoustic Stethoscope
IEEE Journal of Biomedical and Health Informatics | September 2020, pp. 1-1
-
Listening panel agreement and characteristics of lung sounds digitally recorded from children aged 1–59 months enrolled in the pneumonia etiology research for child health (PERCH) case–control study
BMJ Open Respiratory Research | January 2017, Vol 4
-
Computerized Lung Sound Screening for Pediatric Auscultation in Noisy Field Environments
IEEE Transactions on Biomedical Engineering | January 2017, Vol 2017
-
Rich Representation Spaces: Benefits in Digital Auscultation Signal Analysis
Signal Processing Systems | October 2016
-
Adaptive Noise Suppression of Pediatric Lung Auscultations With Real Applications to Noisy Clinical Settings in Developing Countries
IEEE Transactions on Biomedical Engineering | September 2015, Vol 62: pp. 2279-2288
-
Developing a Reference of Normal Lung Sounds in Healthy Peruvian Children
LUNG | January 2014, Vol 192: pp. 765-773
-
Characterization of noise contaminations in lung sound recordings
International Conference of the IEEE Engineering in Medicine and Biology Society | July 2013
-
A multiresolution analysis for detection of abnormal lung sounds
International Conference of the IEEE Engineering in Medicine and Biology Society | August 2012
-
A fully automated image analysis framework for quantitative assessment of temporal tumor changes
E-Health and Bioengineering Conference | November 2011
-
Decision support in heart failure through processing of electro- and echocardiograms
Artificial Intelligence in Medicine | June 2010, Vol 50: pp. 95-104
-
A Decision Support System for Aiding Heart Failure Management
Intelligent Systems Design and Applications | November 2009
-
ECG and echocardiography processing for decision support in heart failure
Computing in Cardiology Conference | September 2008
-
Morphological classification of heartbeats using similarity features and a two-phase decision tree
Computing in Cardiology Conference | September 2008
-
Biomedical Signal and Image Processing for Decision Support in Heart Failure
International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, and Chemistry | July 2008
-
-
-
Investigating Visual Imagery as a BCI Control Strategy: A Pilot Study
Justin Kilmarx, Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Ed Cutrell, Andrew D. Wilson, Ivan Tashev
February 2022
-
A Closed-loop Adaptive Brain-computer Interface Framework: Improving the Classifier with the Use of Error-related Potentials
Kuan-Jung Chiang, Dimitra Emmanouilidou, Hannes Gamper, David Johnston, Mihai Jalobeanu, Ed Cutrell, Andrew D. Wilson, Winko An, Ivan Tashev
International IEEE/EMBS Conference on Neural Engineering | May 2021
-
Sentiment Detection from ASR Output
Ivan Tashev, Dimitra Emmanouilidou
International Conference on Information Technologies | September 2019
-
CURE Dataset: Ladder Networks for Audio Event Classification
Harishchandra Dubey, Dimitra Emmanouilidou, Ivan Tashev
2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim) | August 2019
-
-
-
Sentiment Detection from Speech Recognition Output
Ivan Tashev, Dimitra Emmanouilidou
Engineering Sciences | July 2020, Vol LVII(2)
-
-
-
Sentiment Detection from ASR Output
Ivan Tashev, Dimitra Emmanouilidou
International Conference on Information Technologies | September 2019
-
-
-
CURE Dataset: Ladder Networks for Audio Event Classification
Harishchandra Dubey, Dimitra Emmanouilidou, Ivan Tashev
2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim) | August 2019
-
Listening panel agreement and characteristics of lung sounds digitally recorded from children aged 1–59 months enrolled in the pneumonia etiology research for child health (PERCH) case–control study
BMJ Open Respiratory Research | January 2017, Vol 4
-
Computerized Lung Sound Screening for Pediatric Auscultation in Noisy Field Environments
IEEE Transactions on Biomedical Engineering | January 2017, Vol 2017
-
Rich Representation Spaces: Benefits in Digital Auscultation Signal Analysis
Signal Processing Systems | October 2016
-
Adaptive Noise Suppression of Pediatric Lung Auscultations With Real Applications to Noisy Clinical Settings in Developing Countries
IEEE Transactions on Biomedical Engineering | September 2015, Vol 62: pp. 2279-2288
-
Developing a Reference of Normal Lung Sounds in Healthy Peruvian Children
LUNG | January 2014, Vol 192: pp. 765-773
-
Characterization of noise contaminations in lung sound recordings
International Conference of the IEEE Engineering in Medicine and Biology Society | July 2013
-
A multiresolution analysis for detection of abnormal lung sounds
International Conference of the IEEE Engineering in Medicine and Biology Society | August 2012
-
A fully automated image analysis framework for quantitative assessment of temporal tumor changes
E-Health and Bioengineering Conference | November 2011
-
Decision support in heart failure through processing of electro- and echocardiograms
Artificial Intelligence in Medicine | June 2010, Vol 50: pp. 95-104
-
A Decision Support System for Aiding Heart Failure Management
Intelligent Systems Design and Applications | November 2009
-
ECG and echocardiography processing for decision support in heart failure
Computing in Cardiology Conference | September 2008
-
Morphological classification of heartbeats using similarity features and a two-phase decision tree
Computing in Cardiology Conference | September 2008
-
Biomedical Signal and Image Processing for Decision Support in Heart Failure
International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, and Chemistry | July 2008
-
Adaptive threshold QRS detector with best channel selection based on a noise rating system
Computing in Cardiology Conference | September 2007
-
-
-
Functional Near-Infrared Spectroscopy Feature Extraction with Application in Workload Estimation
Elisabeth R. M. Heremans, David Johnston, Dimitra Emmanouilidou, Andre Golard, Ivan Tashev, Ryen White
ICASSP | April 2025
-
Domain mismatch and data augmentation in speech emotion recognition
Dimitra Emmanouilidou, Hannes Gamper, Midia Yousefi
SMM24, Interspeech Workshop on Speech, Music and Mind 2024 | September 2024
-
Adapting Frechet Audio Distance for Generative Music Evaluation
Azalea Gui, Hannes Gamper, Sebastian Braun, Dimitra Emmanouilidou
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | April 2024
Best student paper award at IEEE ICASSP 2024
-
Training Audio Captioning Models without Audio
Soham Deshmukh, Benjamin Elizalde, Dimitra Emmanouilidou, Bhiksha Raj, Rita Singh, Huaming Wang
2024 International Conference on Acoustics, Speech, and Signal Processing | April 2024
-
Multi-View Learning for Speech Emotion Recognition
Daniel Tompkins, Dimitra Emmanouilidou, Soham Deshmukh, Benjamin Elizalde
International Conference on Acoustics, Speech and Signal Processing | June 2023
-
Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics
Sandeep Kothinti, Dimitra Emmanouilidou
European Signal Processing Conference (EUSIPCO) | May 2023
-
On the Effect of Size and Contrast of the SSVEP Visual Stimuations on Classification Accuracy and User-Friendliness in Virtual Reality
Hakim Si-Mohammed, Christian Holz, Andrew D. Wilson, Hannes Gamper, Adrian KC Lee, Dimitra Emmanouilidou, Ed Cutrell, Ivan Tashev
International Winter Conference on Brain-Computer Interface | February 2023
-
Toxic Speech and Speech Emotions: Investigations of Audio-based Modeling and Intercorrelations
Wei-Cheng Lin, Dimitra Emmanouilidou
European Signal Processing Conference (EUSIPCO) | August 2022
-
Investigating Visual Imagery as a BCI Control Strategy: A Pilot Study
Justin Kilmarx, Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Ed Cutrell, Andrew D. Wilson, Ivan Tashev
February 2022
-
Detection of Robocall and Spam Calls using Acoustic Features of Incoming Voicemails
Benjamin Elizalde, Dimitra Emmanouilidou
Proc. Mtgs. Acoust | December 2021
-
Audio-based Toxic Language Classification using Self-attentive Convolutional Neural Network
Midia Yousefi, Dimitra Emmanouilidou
2021 29th European Signal Processing Conference (EUSIPCO) | August 2021
-
Decoding Music Attention from “EEG Headphones”: A User-Friendly Auditory Brain-Computer Interface
Winko W. An, Barbara Shinn-Cunningham, Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Mihai Jalobeanu, Ed Cutrell, Andrew D. Wilson, Kuan-Jung Chiang, Ivan Tashev
ICASSP 2021 | June 2021
-
A Closed-loop Adaptive Brain-computer Interface Framework: Improving the Classifier with the Use of Error-related Potentials
Kuan-Jung Chiang, Dimitra Emmanouilidou, Hannes Gamper, David Johnston, Mihai Jalobeanu, Ed Cutrell, Andrew D. Wilson, Winko An, Ivan Tashev
International IEEE/EMBS Conference on Neural Engineering | May 2021
-
Predicting Word Error Rate for Reverberant Speech
Hannes Gamper, Dimitra Emmanouilidou, Sebastian Braun, Ivan Tashev
International Conference on Acoustics, Speech and Signal Processing (ICASSP) | May 2020
-
Supervised Deep Hashing for Efficient Audio Event Retrieval
Arindam Jati, Dimitra Emmanouilidou
2020 International Conference on Acoustics, Speech, and Signal Processing | May 2020
-
Decoding auditory and tactile attention for use in an EEG-based brain-computer interface
Winko W. An, Hakim Si-Mohammed, Nicholas Huang, Hannes Gamper, Adrian KC Lee, Christian Holz, David Johnston, Mihai Jalobeanu, Dimitra Emmanouilidou, Ed Cutrell, Andrew D. Wilson, Ivan Tashev
International Winter Conference on Brain-Computer Interface | February 2020
-
Sentiment Detection from ASR Output
Ivan Tashev, Dimitra Emmanouilidou
International Conference on Information Technologies | September 2019
-
The effect of room acoustics on audio event classification
Dimitra Emmanouilidou, Hannes Gamper
Proc. 23rd International Congress on Acoustics (ICA) | September 2019
-
CURE Dataset: Ladder Networks for Audio Event Classification
Harishchandra Dubey, Dimitra Emmanouilidou, Ivan Tashev
2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim) | August 2019
-
Rich Representation Spaces: Benefits in Digital Auscultation Signal Analysis
Signal Processing Systems | October 2016
-
Characterization of noise contaminations in lung sound recordings
International Conference of the IEEE Engineering in Medicine and Biology Society | July 2013
-
A multiresolution analysis for detection of abnormal lung sounds
International Conference of the IEEE Engineering in Medicine and Biology Society | August 2012
-
A fully automated image analysis framework for quantitative assessment of temporal tumor changes
E-Health and Bioengineering Conference | November 2011
-
A Decision Support System for Aiding Heart Failure Management
Intelligent Systems Design and Applications | November 2009
-
ECG and echocardiography processing for decision support in heart failure
Computing in Cardiology Conference | September 2008
-
Morphological classification of heartbeats using similarity features and a two-phase decision tree
Computing in Cardiology Conference | September 2008
-
Biomedical Signal and Image Processing for Decision Support in Heart Failure
International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, and Chemistry | July 2008
-
Adaptive threshold QRS detector with best channel selection based on a noise rating system
Computing in Cardiology Conference | September 2007
-
-
-
Periodic motion-based visual stimulus
Andrew D. Wilson, Ivan Tashev, Hannes Gamper, Ed Cutrell, David Johnston, Dimitra Emmanouilidou
MSR-TR-2022-37 | November 2022
Publié par Microsoft
US-20220365599-A1
-
-
-
Acoustics as a guide to welding quality
The Journal of the Acoustical Society of America | December 2022, Vol 152(4): pp. A142
-
Audio-Based SPAM Call Detection
Benjamin M Elizalde , Dimitra Emmanouilidou
The Journal of the Acoustical Society of America | December 2021, Vol 150(4): pp. A357-A357
Acoustical Society of America
-
Electronic Stethoscope Filtering Mimics the Perceived Sound Characteristics of Acoustic Stethoscope
IEEE Journal of Biomedical and Health Informatics | September 2020, pp. 1-1
-
Sentiment Detection from Speech Recognition Output
Ivan Tashev, Dimitra Emmanouilidou
Engineering Sciences | July 2020, Vol LVII(2)
-
Listening panel agreement and characteristics of lung sounds digitally recorded from children aged 1–59 months enrolled in the pneumonia etiology research for child health (PERCH) case–control study
BMJ Open Respiratory Research | January 2017, Vol 4
-
Computerized Lung Sound Screening for Pediatric Auscultation in Noisy Field Environments
IEEE Transactions on Biomedical Engineering | January 2017, Vol 2017
-
Adaptive Noise Suppression of Pediatric Lung Auscultations With Real Applications to Noisy Clinical Settings in Developing Countries
IEEE Transactions on Biomedical Engineering | September 2015, Vol 62: pp. 2279-2288
-
Developing a Reference of Normal Lung Sounds in Healthy Peruvian Children
LUNG | January 2014, Vol 192: pp. 765-773
-
Decision support in heart failure through processing of electro- and echocardiograms
Artificial Intelligence in Medicine | June 2010, Vol 50: pp. 95-104
-