Ting Dang

According to our database, Ting Dang authored at least 94 papers between 2015 and 2026.

Collaborative distances:

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

2026

Emotion-Aware Quantization for Discrete Speech Representations: An Analysis of Emotion Preservation.

Haoguang Zhou, Siyi Wang, Jingyao Wu, James Bailey, Ting Dang

CoRR, March, 2026

Wearable Foundation Models Should Go Beyond Static Encoders.

Yu Yvonne Wu, Yuwei Zhang, Hyungjun Yoon, Ting Dang, Dimitris Spathis, Tong Xia, Qiang Yang, Jing Han, Dong Ma, Sung-Ju Lee, Cecilia Mascolo

CoRR, March, 2026

Beyond Deep Learning: Speech Segmentation and Phone Classification with Neural Assemblies.

Trevor Adelson, Vidhyasaharan Sethu, Ting Dang

CoRR, March, 2026

Localizing and Editing Knowledge in Large Audio-Language Models.

Sung Kyun Chung, Jiaheng Dong, Qiuchi Hu, Gongping Huang, Hong Jia, Ting Dang

CoRR, March, 2026

Edge-Cloud Collaborative Speech Emotion Captioning via Token-Level Speculative Decoding in Audio-Language Models.

Xiangyuan Xue, Jiajun Lu, Yan Gao, Gongping Huang, Ting Dang, Hong Jia

CoRR, March, 2026

Disentangling Reasoning in Large Audio-Language Models for Ambiguous Emotion Prediction.

Xiaofeng Yu, Jiaheng Dong, Jean Honorio, Abhirup Ghosh, Hong Jia, Ting Dang

CoRR, March, 2026

Continual Adaptation for Pacific Indigenous Speech Recognition.

Yang Xiao, Aso Mahmudi, Nick Thieberger, Eliathamby Ambikairajah, Eun-Jung Holden, Ting Dang

CoRR, March, 2026

PolyBench: A Benchmark for Compositional Reasoning in Polyphonic Audio.

Yuanjian Chen, Yang Xiao, Han Yin, Xubo Liu, Jinjie Huang, Ting Dang

CoRR, March, 2026

The First Environmental Sound Deepfake Detection Challenge: Benchmarking Robustness, Evaluation, and Insights.

Han Yin, Yang Xiao, Rohan Kumar Das, Jisheng Bai, Ting Dang

CoRR, March, 2026

Focus Then Listen: Exploring Plug-and-Play Audio Enhancer for Noise-Robust Large Audio Language Models.

Han Yin, Yang Xiao, Younghoo Kwon, Ting Dang, Jung-Woo Choi

CoRR, March, 2026

LQA: A Lightweight Quantized-Adaptive Framework for Vision-Language Models on the Edge.

Xin Wang, Hong Jia, Hualin Zhou, Sheng Guang Wang, Yu Zhang, Ting Dang, Tao Gu

CoRR, February, 2026

HoRD: Robust Humanoid Control via History-Conditioned Reinforcement Learning and Online Distillation.

Puyue Wang, Jiawei Hu, Yan Gao, Junyan Wang, Yu Zhang, Gillian Dobbie, Tao Gu, Wafa Johal, Ting Dang, Hong Jia

CoRR, February, 2026

Rethinking Perplexity: Revealing the Impact of Input Length on Perplexity Evaluation in LLMs.

Letian Cheng, Junyan Wang, Yan Gao, Elliott Wen, Ting Dang, Hong Jia

CoRR, February, 2026

Decoding Ambiguous Emotions with Test-Time Scaling in Audio-Language Models.

Hong Jia, Weibin Li, Jingyao Wu, Xiaofeng Yu, Yan Gao, Jintao Cheng, Xiaoyu Tang, Feng Xia, Ting Dang

CoRR, February, 2026

CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering.

Siyi Wang, Shihong Tan, Siyi Liu, Hong Jia, Gongping Huang, James Bailey, Ting Dang

CoRR, February, 2026

Adapting Where It Matters: Depth-Aware Adaptation for Efficient Multilingual Speech Recognition in Low-Resource Languages.

Yang Xiao, Eun-Jung Holden, Ting Dang

CoRR, February, 2026

Rethinking Large Language Models For Irregular Time Series Classification In Critical Care.

Feixiang Zheng, Yu Wu, Cecilia Mascolo, Ting Dang

CoRR, January, 2026

Test-Time Adaptation for Speech Emotion Recognition.

Jiaheng Dong, Hong Jia, Ting Dang

CoRR, January, 2026

Scaling Ambiguity: Augmenting Human Annotation in Speech Emotion Recognition with Audio-Language Models.

Wenda Zhang, Hongyu Jin, Siyi Wang, Zhiqiang Wei, Ting Dang

CoRR, January, 2026

AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs.

Ting Dang, Soumyajit Chatterjee, Hong Jia, Yu Wu, Flora Salim, Fahim Kawsar

CoRR, January, 2026

ESDD2: Environment-Aware Speech and Sound Deepfake Detection Challenge Evaluation Plan.

Xueping Zhang, Han Yin, Yang Xiao, Lin Zhang, Ting Dang, Rohan Kumar Das, Ming Li

CoRR, January, 2026

From Cheap to Chic: Enhancing Music Playback Quality of Budget Earphones via Hardware-Aware Learning.

Changshuo Hu, Hung Manh Pham, Ting Dang, Jiannan Li, Rajesh Balan, Dong Ma

Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems, 2026

2025

Environmental Sound Deepfake Detection Challenge: An Overview.

Han Yin, Yang Xiao, Rohan Kumar Das, Jisheng Bai, Ting Dang

CoRR, December, 2025

Listening to the Mind: Earable Acoustic Sensing of Cognitive Load.

Xijia Wei, Ting Dang, Khaldoon Al-Naimi, Yang Liu, Fahim Kawsar, Alessandro Montanari

CoRR, December, 2025

Menta: A Small Language Model for On-Device Mental Health Prediction.

Tianyi Zhang, Xiangyuan Xue, Lingyan Ruan, Shiya Fu, Feng Xia, Simon D'Alfonso, Vassilis Kostakos, Ting Dang, Hong Jia

CoRR, December, 2025

Device-Guided Music Transfer.

Manh Pham Hung, Changshuo Hu, Ting Dang, Dong Ma

CoRR, November, 2025

Data-Efficient Psychiatric Disorder Detection via Self-Supervised Learning on Frequency-Enhanced Brain Networks.

Mujie Liu, Mengchu Zhu, Qichao Dong, Ting Dang, Jiangang Ma, Jing Ren, Feng Xia

ACM Trans. Comput. Heal., October, 2025

Position: Human-Robot Interaction in Embodied Intelligence Demands a Shift From Static Privacy Controls to Dynamic Learning.

Shuning Zhang, Hong Jia, Simin Li, Ting Dang, Yongquan 'Owen' Hu, Xin Yi, Hewu Li

CoRR, September, 2025

HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring.

Xin Wang, Ting Dang, Xinyu Zhang, Vassilis Kostakos, Michael J. Witbrock, Hong Jia

CoRR, September, 2025

MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation.

Yiwen Ye, Yicheng Wu, Xiangde Luo, He Zhang, Ziyang Chen, Ting Dang, Yanning Zhang, Yong Xia

CoRR, September, 2025

ESDD 2026: Environmental Sound Deepfake Detection Challenge Evaluation Plan.

Han Yin, Yang Xiao, Rohan Kumar Das, Jisheng Bai, Ting Dang

CoRR, August, 2025

SQUIREDL: Sparse Sequence-to-Sequence Uncertainty Estimation in Evidential Deep Learning.

Sotirios Vavaroutas, Ting Dang, Emma Rocheteau, Cecilia Mascolo

ACM Trans. Comput. Heal., July, 2025

Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understanding.

Hong Jia, Shiya Fu, Feng Xia, Vassilis Kostakos, Ting Dang

CoRR, July, 2025

E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models.

Jiaheng Dong, Hong Jia, Soumyajit Chatterjee, Abhirup Ghosh, James Bailey, Ting Dang

CoRR, June, 2025

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models.

Yan Gao, Massimo Roberto Scamarcia, Javier Fernández-Marqués, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, Inseo Song, KangYoon Lee, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane

CoRR, June, 2025

Scaling Auditory Cognition via Test-Time Compute in Audio Language Models.

Ting Dang, Yan Gao, Hong Jia

CoRR, March, 2025

Speech Emotion Recognition via CNN-Transformer and multidimensional attention mechanism.

Xiaoyu Tang, Jiazheng Huang, Yixin Lin, Ting Dang, Jintao Cheng

Speech Commun., 2025

Self-Supervised rU-net With Spectrum Branch: A Novel Framework for Subject-independent Emotion Recognition based on Peripheral Physiological Signals.

Jiaming Chen, Lifeng You, Ting Dang, Xiao Liu, Hongtao Zhang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition.

Jule Valendo Halim, Siyi Wang, Hong Jia, Ting Dang

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

A Study of Speech Embedding Similarities Between Australian Aboriginal and High-Resource Languages.

Eliathamby Ambikairajah, Jingyao Wu, Ting Dang, Vidhyasaharan Sethu

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation.

Amaan Izhar, Nurul Japar, Norisma Idris, Ting Dang

Proceedings of the International Joint Conference on Neural Networks, 2025

Cognitive Load Monitoring via Earable Acoustic Sensing.

Jiatao Quan, Khaldoon Al-Naimi, Xijia Wei, Yang Liu, Fahim Kawsar, Alessandro Montanari, Ting Dang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models.

Xin Hong, Yuan Gong, Vidhyasaharan Sethu, Ting Dang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations.

Shuning Zhang, Ying Ma, Yongquan 'Owen' Hu, Ting Dang, Hong Jia, Xin Yi, Hewu Li

Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

Listening to the Mind: Earable Acoustic Sensing of Cognitive Load.

Xijia Wei, Ting Dang, Khaldoon Al-Naimi, Yang Liu, Fahim Kawsar, Alessandro Montanari

Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

WellComp 2025: Eighth International Workshop on Computing and Software Systems for Well-Being.

Hong Jia, Pantea Keikhosrokiani, Soumyajit Chatterjee, Ting Dang

Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-Efficient Psychiatric Diagnosis.

Mujie Liu, Chenze Wang, Liping Chen, Nguyen Linh Dan Le, Niharika Tewari, Ting Dang, Jiangang Ma, Feng Xia

Proceedings of the AI 2025: Advances in Artificial Intelligence, 2025

RawTFNet: A Lightweight CNN Architecture for Speech Anti-Spoofing.

Yang Xiao, Ting Dang, Rohan Kumar Das

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

Characterization of Speech Similarity Between Australian Aboriginal and High-Resource Languages: A Case Study on Dharawal.

Ting Dang, Trini Manoj Jeyaseelan, Eliathamby Ambikairajah, Vidhyasaharan Sethu

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

2024

Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning.

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

IEEE J. Biomed. Health Informatics, November, 2024

Multimodal Large Language Models in Human-Centered Health: Practical Insights.

Ting Dang, Hong Jia

IEEE Pervasive Comput., 2024

An evaluation of heart rate monitoring with in-ear microphones under motion.

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

Pervasive Mob. Comput., 2024

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast.

Yu Wu, Ting Dang, Dimitris Spathis, Hong Jia, Cecilia Mascolo

CoRR, 2024

A Joint Spectro-Temporal Relational Thinking Based Acoustic Modeling Framework.

Zheng Nan, Ting Dang, Vidhyasaharan Sethu, Beena Ahmed

CoRR, 2024

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

Julia Lee 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

TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices.

Hong Jia, Young D. Kwon, Alessio Orsino, Ting Dang, Domenico Talia, Cecilia Mascolo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient and Personalized Mobile Health Event Prediction via Small Language Models.

Xin Wang, Ting Dang, Vassilis Kostakos, Hong Jia

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction.

Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Towards Enabling DPOAE Estimation on Single-Speaker Earbuds.

Irtaza Shahid, Khaldoon Al-Naimi, Ting Dang, Yang Liu, Fahim Kawsar, Alessandro Montanari

Proceedings of the IEEE International Conference on Acoustics, 2024

Variational Connectionist Temporal Classification for Order-Preserving Sequence Modeling.

Zheng Nan, Ting Dang, Vidhyasaharan Sethu, Beena Ahmed

Proceedings of the IEEE International Conference on Acoustics, 2024

Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health.

Yongquan Hu, Shuning Zhang, Ting Dang, Hong Jia, Flora D. Salim, Wen Hu, Aaron J. Quigley

Proceedings of the Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024

WellComp 2024: Seventh International Workshop on Computing for Well-Being.

Ting Dang, Shkurta Gashi, Dimitris Spathis, Alexander Hoelzemann

Proceedings of the Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024

<i>StatioCL</i>: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast.

Yu Wu, Ting Dang, Dimitris Spathis, Hong Jia, Cecilia Mascolo

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Emotion Recognition Systems Must Embrace Ambiguity.

Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Proceedings of the 12th International Conference on Affective Computing and Intelligent Interaction, 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

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

From Interval to Ordinal: A HMM based Approach for Emotion Label Conversion.

Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 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 23rd Annual Conference of the International Speech Communication Association, 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 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2019

Speech Based Emotion Prediction: Can a Linear Model Work?

Anda Ouyang, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 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 18th Annual Conference of the International Speech Communication Association, 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 17th Annual Conference of the International Speech Communication Association, 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