Shahin Amiriparian

Orcid: 0000-0002-1129-8223

According to our database1, Shahin Amiriparian authored at least 75 papers between 2014 and 2024.

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Bibliography

2024
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

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

Classification of stuttering - The ComParE challenge and beyond.
Comput. Speech Lang., June, 2023

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

A summary of the ComParE COVID-19 challenges.
Frontiers Digit. Health, March, 2023

EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition.
IEEE Trans. Affect. Comput., 2023

Guest Editorial: Special Issue on Affective Speech and Language Synthesis, Generation, and Conversion.
IEEE Trans. Affect. Comput., 2023

Computational charisma - A brick by brick blueprint for building charismatic artificial intelligence.
Frontiers Comput. Sci., 2023

Improving question answering performance using knowledge distillation and active learning.
Eng. Appl. Artif. Intell., 2023

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation.
CoRR, 2023

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation.
Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, 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

MuSe 2023 Challenge: Multimodal Prediction of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

METEOR Guided Divergence for Video Captioning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Noise Robust Recognition of Depression Status and Treatment Response from Speech via Unsupervised Feature Aggregation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Universal Lesion Detection Utilising Cascading R-CNNs and a Novel Video Pretraining Method.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Face mask recognition from audio: The MASC database and an overview on the mask challenge.
Pattern Recognit., 2022

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data.
Frontiers Artif. Intell., 2022

Automatic Emotion Modelling in Written Stories.
CoRR, 2022

Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results.
CoRR, 2022

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 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

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

MuSe 2022 Challenge: Multimodal Humour, Emotional Reactions, and Stress.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

The Dos and Don'ts of Affect Analysis.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

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

2021
A Machine Learning Framework for Automatic Prediction of Human Semen Motility.
CoRR, 2021

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data.
CoRR, 2021

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era.
CoRR, 2021

Emotion Recognition in Public Speaking Scenarios Utilising An LSTM-RNN Approach with Attention.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

AI Hears Your Health: Computer Audition for Health Monitoring.
Proceedings of the ICT for Health, Accessibility and Wellbeing, 2021

2020
"Are You Playing a Shooter Again?!" Deep Representation Learning for Audio-Based Video Game Genre Recognition.
IEEE Trans. Games, 2020

Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks.
EURASIP J. Audio Speech Music. Process., 2020

The voice of COVID-19: Acoustic correlates of infection.
CoRR, 2020

A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech.
CoRR, 2020

Unsupervised Representation Learning with Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech.
Proceedings of the MuSe'20: Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, 2020

Emotion and Themes Recognition in Music with Convolutional and Recurrent Attention-Blocks.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks.
Proceedings of the Interspeech 2020, 2020

Deep Attentive End-to-End Continuous Breath Sensing from Speech.
Proceedings of the Interspeech 2020, 2020

Towards Silent Paralinguistics: Deriving Speaking Mode and Speaker ID from Electromyographic Signals.
Proceedings of the Interspeech 2020, 2020

Toward Silent Paralinguistics: Speech-to-EMG - Retrieving Articulatory Muscle Activity from Speech.
Proceedings of the Interspeech 2020, 2020

Group-level Speech Emotion Recognition Utilising Deep Spectrum Features.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

2019
Humans Inside: Cooperative Big Multimedia Data Mining.
Proceedings of the Innovations in Big Data Mining and Embedded Knowledge, 2019

Deep Representation Learning Techniques for Audio Signal Processing.
PhD thesis, 2019

Synchronization in Interpersonal Speech.
Frontiers Robotics AI, 2019

Can Deep Generative Audio be Emotional? Towards an Approach for Personalised Emotional Audio Generation.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Predicting Biological Signals from Speech: Introducing a Novel Multimodal Dataset and Results.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition.
Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, 2019

Emotion and Themes Recognition in Music Utilising Convolutional and Recurrent Neural Networks.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity.
Proceedings of the Interspeech 2019, 2019

Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test.
Proceedings of the Interspeech 2019, 2019

Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition.
Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 2018


Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks.
Proceedings of the Interspeech 2018, 2018

Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multimodal Bag-of-Words for Cross Domains Sentiment Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Low Level Texture Features for Snore Sound Discrimination.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks.
J. Mach. Learn. Res., 2017

An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification.
Proceedings of the Interspeech 2017, 2017

Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results.
Proceedings of the Interspeech 2017, 2017

Snore Sound Classification Using Image-Based Deep Spectrum Features.
Proceedings of the Interspeech 2017, 2017

"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infection.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

Feature selection in multimodal continuous emotion prediction.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017

Sentiment analysis using image-based deep spectrum features.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017

2016
Is Deception Emotional? An Emotion-Driven Predictive Approach.
Proceedings of the Interspeech 2016, 2016

2014
Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion.
Proceedings of the 16th International Conference on Multimodal Interaction, 2014


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