Andreas Triantafyllopoulos

Orcid: 0000-0001-8338-617X

According to our database1, Andreas Triantafyllopoulos authored at least 42 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection.
Biomed. Signal Process. Control., February, 2024

2023
Zero-shot personalization of speech foundation models for depressed mood monitoring.
Patterns, November, 2023

An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era.
Proc. IEEE, October, 2023

Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare.
Frontiers Digit. Health, May, 2023

Multistage linguistic conditioning of convolutional layers for speech emotion recognition.
Frontiers Comput. Sci., 2023

A review of automatic recognition technology for bird vocalizations in the deep learning era.
Ecol. Informatics, 2023

Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene Classification.
CoRR, 2023

Exploring Meta Information for Audio-based Zero-shot Bird Classification.
CoRR, 2023

U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech.
CoRR, 2023

Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation.
IEEE Access, 2023

Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning.
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

"Do touch!" - 3D Scanning and Printing Technologies for the Haptic Representation of Cultural Assets: A Study with Blind Target Users.
Proceedings of the 5th Workshop on analySis, 2023

Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2023

Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection.
Dataset, September, 2022

Personalised depression forecasting using mobile sensor data and ecological momentary assessment.
Frontiers Digit. Health, 2022

Self-Supervised Attention Networks and Uncertainty Loss Weighting for Multi-Task Emotion Recognition on Vocal Bursts.
CoRR, 2022

Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression.
CoRR, 2022

COVYT: Introducing the Coronavirus YouTube and TikTok speech dataset featuring the same speakers with and without infection.
CoRR, 2022

Redundancy Reduction Twins Network: A Training framework for Multi-output Emotion Regression.
CoRR, 2022

Exploring speaker enrolment for few-shot personalisation in emotional vocalisation prediction.
CoRR, 2022

Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet.
CoRR, 2022

A Personalised Approach to Audiovisual Humour Recognition and its Individual-level Fairness.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

Improving Exertion and Wellbeing Prediction in Outdoor Running Conditions using Audio-based Surface Recognition.
Proceedings of the MMSports@MM 2022: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, 2022

Distinguishing between pre- and post-treatment in the speech of patients with chronic obstructive pulmonary disease.
Proceedings of the Interspeech 2022, 2022

Probing speech emotion recognition transformers for linguistic knowledge.
Proceedings of the Interspeech 2022, 2022

An Overview & Analysis of Sequence-to-Sequence Emotional Voice Conversion.
Proceedings of the Interspeech 2022, 2022

Fatigue Prediction in Outdoor Running Conditions using Audio Data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Insights on Modelling Physiological, Appraisal, and Affective Indicators of Stress using Audio Features.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Depression Diagnosis and Forecast based on Mobile Phone Sensor Data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Temporal-oriented Broadcast ResNet for COVID-19 Detection.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
An Evaluation of Speech-Based Recognition of Emotional and Physiological Markers of Stress.
Frontiers Comput. Sci., 2021

Deep speaker conditioning for speech emotion recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

The Role of Task and Acoustic Similarity in Audio Transfer Learning: Insights from the Speech Emotion Recognition Case.
Proceedings of the IEEE International Conference on Acoustics, 2021

Fairness and Underspecification in Acoustic Scene Classification: The Case for Disaggregated Evaluations.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020
Towards Speech Robustness for Acoustic Scene Classification.
Proceedings of the Interspeech 2020, 2020

2019
Towards Robust Speech Emotion Recognition Using Deep Residual Networks for Speech Enhancement.
Proceedings of the Interspeech 2019, 2019

Robust Speech Emotion Recognition Under Different Encoding Conditions.
Proceedings of the Interspeech 2019, 2019

2018
audEERING's approach to the One-Minute-Gradual Emotion Challenge.
CoRR, 2018


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