Ting Dang

According to our database, Ting Dang authored at least 31 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring.

Julia Romero, Andrea Ferlini, Dimitris Spathis, Ting Dang, Katayoun Farrahi, Fahim Kawsar, Alessandro Montanari

Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024

2023

ClearSpeech: Improving Voice Quality of Earbuds Using Both In-Ear and Out-Ear Microphones.

Dong Ma, Ting Dang, Ming Ding, Rajesh Balan

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

Unobtrusive Air Leakage Estimation for Earables with In-ear Microphones.

Berken Utku Demirel, Ting Dang, Khaldoon Al-Naimi, Fahim Kawsar, Alessandro Montanari

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

DNN controlled adaptive front-end for replay attack detection systems.

Buddhi Wickramasinghe, Eliathamby Ambikairajah, Vidhyasaharan Sethu, Julien Epps, Haizhou Li, Ting Dang

Speech Commun., October, 2023

A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information.

Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

IEEE Trans. Affect. Comput., 2023

Variational Connectionist Temporal Classification for Order-Preserving Sequence Modeling.

Zheng Nan, Ting Dang, Vidhyasaharan Sethu, Beena Ahmed

CoRR, 2023

Lightweight and Non-Invasive User Authentication on Earables.

Changshuo Hu, Xiao Ma, Dong Ma, Ting Dang

Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications, 2023

hEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones.

Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Cecilia Mascolo

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023

Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19.

Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Constrained Dynamical Neural ODE for Time Series Modelling: A Case Study on Continuous Emotion Prediction.

Ting Dang, Antoni Dimitriadis, Jingyao Wu, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Proceedings of the IEEE International Conference on Acoustics, 2023

WellComp 2023: Sixth International Workshop on Computing for Well-Being.

Shkurta Gashi, Dimitris Spathis, Ting Dang, Alexander Hoelzemann

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Belief Mismatch Coefficient (BMC): A Novel Interpretable Measure of Prediction Accuracy for Ambiguous Emotion States.

Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

2022

Sounds of COVID-19: exploring realistic performance of audio-based digital testing.

Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo

npj Digit. Medicine, 2022

COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study.

Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo

CoRR, 2022

Exploring Semi-supervised Learning for Audio-based COVID-19 Detection using FixMatch.

Ting Dang, Thomas Quinnell, Cecilia Mascolo

Proceedings of the Interspeech 2022, 2022

A Novel Sequential Monte Carlo Framework for Predicting Ambiguous Emotion States.

Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Compensation Techniques for Speaker Variability in Continuous Emotion Prediction.

Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

IEEE Trans. Affect. Comput., 2021

Multimodal Affect Models: An Investigation of Relative Salience of Audio and Visual Cues for Emotion Prediction.

Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Frontiers Comput. Sci., 2021

Motion-resilient Heart Rate Monitoring with In-ear Microphones.

Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Cecilia Mascolo

CoRR, 2021

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening.

Tong Xia, Dimitris Spathis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data.

Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2019

Speech Based Emotion Prediction: Can a Linear Model Work?

Anda Ouyang, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Proceedings of the Interspeech 2019, 2019

A Novel Bag-of-Optimised-Clusters Front-End for Speech based Continuous Emotion Prediction.

Deboshree Bose, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah, Sarith Fernando

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018

Speech based Continuous Emotion Prediction: An investigation of Speaker Variability and Emotion Uncertainty.

Ting Dang

PhD thesis, 2018

Speech-based Continuous Emotion Prediction by Learning Perception Responses related to Salient Events: A Study based on Vocal Affect Bursts and Cross-Cultural Affect in AVEC 2018.

Kalani Wataraka Gamage, Ting Dang, Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah

Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 2018

Dynamic Multi-Rater Gaussian Mixture Regression Incorporating Temporal Dependencies of Emotion Uncertainty Using Kalman Filters.

Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Investigating Word Affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 2017.

Ting Dang, Brian Stasak, Zhaocheng Huang, Sadari Jayawardena, Mia Atcheson, Munawar Hayat, Phu Ngoc Le, Vidhyasaharan Sethu, Roland Goecke, Julien Epps

Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, Mountain View, CA, USA, October 23, 2017

An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression.

Ting Dang, Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah

Proceedings of the Interspeech 2017, 2017

2016

Staircase Regression in OA RVM, Data Selection and Gender Dependency in AVEC 2016.

Zhaocheng Huang, Brian Stasak, Ting Dang, Kalani Wataraka Gamage, Phu Ngoc Le, Vidhyasaharan Sethu, Julien Epps

Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016

Factor Analysis Based Speaker Normalisation for Continuous Emotion Prediction.

Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Proceedings of the Interspeech 2016, 2016

2015

An Investigation of Annotation Delay Compensation and Output-Associative Fusion for Multimodal Continuous Emotion Prediction.

Zhaocheng Huang, Ting Dang, Nicholas Cummins, Brian Stasak, Phu Ngoc Le, Vidhyasaharan Sethu, Julien Epps

Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, 2015