Shahin Amiriparian | DeepAI

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Featured Co-authors

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∙ 05/16/2023

Executive Voiced Laughter and Social Approval: An Explorative Machine Learning Study

We study voiced laughter in executive communication and its effect on so...

0 Niklas Mueller, et al. ∙

∙ 04/28/2023

The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share Requests

The ACM Multimedia 2023 Computational Paralinguistics Challenge addresse...

1 Björn W. Schuller, et al. ∙

∙ 01/25/2023

HEAR4Health: A blueprint for making computer audition a staple of modern healthcare

Recent years have seen a rapid increase in digital medicine research in ...

0 Andreas Triantafyllopoulos, et al. ∙

∙ 12/31/2022

Computational Charisma – A Brick by Brick Blueprint for Building Charismatic Artificial Intelligence

Charisma is considered as one's ability to attract and potentially also ...

0 Björn W. Schuller, et al. ∙

∙ 12/21/2022

Automatic Emotion Modelling in Written Stories

Telling stories is an integral part of human communication which can evo...

0 Lukas Christ, et al. ∙

∙ 12/20/2022

METEOR Guided Divergence for Video Captioning

Automatic video captioning aims for a holistic visual scene understandin...

0 Daniel Lukas Rothenpieler, et al. ∙

∙ 09/28/2022

Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results

Humour is a substantial element of human affect and cognition. Its autom...

0 Lukas Christ, et al. ∙

∙ 07/26/2022

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

Chronic obstructive pulmonary disease (COPD) causes lung inflammation an...

0 Andreas Triantafyllopoulos, et al. ∙

∙ 06/12/2022

COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition

Automatically recognising apparent emotions from face and voice is hard,...

0 Mani Kumar Tellamekala, et al. ∙

∙ 05/13/2022

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, Mosquitoes

The ACM Multimedia 2022 Computational Paralinguistics Challenge addresse...

0 Björn W. Schuller, et al. ∙

∙ 05/09/2022

Fatigue Prediction in Outdoor Running Conditions using Audio Data

Although running is a common leisure activity and a core training regime...

0 Andreas Triantafyllopoulos, et al. ∙

∙ 02/17/2022

A Summary of the ComParE COVID-19 Challenges

The COVID-19 pandemic has caused massive humanitarian and economic damag...

13 Harry Coppock, et al. ∙

∙ 09/26/2021

Improving Question Answering Performance Using Knowledge Distillation and Active Learning

Contemporary question answering (QA) systems, including transformer-base...

0 Yasaman Boreshban, et al. ∙

∙ 09/16/2021

A Machine Learning Framework for Automatic Prediction of Human Semen Motility

In this paper, human semen samples from the visem dataset collected by t...

28 Sandra Ottl, et al. ∙

∙ 04/23/2021

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

Deep neural speech and audio processing systems have a large number of t...

0 Shahin Amiriparian, et al. ∙

∙ 04/20/2021

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

Text encodings from automatic speech recognition (ASR) transcripts and a...

0 Shahin Amiriparian, et al. ∙

∙ 03/10/2021

EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition

In this manuscript, the topic of multi-corpus Speech Emotion Recognition...

0 Maurice Gerczuk, et al. ∙

∙ 02/24/2021

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation Primates

The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses f...

1 Björn W. Schuller, et al. ∙

∙ 12/17/2020

The voice of COVID-19: Acoustic correlates of infection

COVID-19 is a global health crisis that has been affecting many aspects ...

0 Katrin D. Bartl-Pokorny, et al. ∙

∙ 05/15/2020

A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech

Motivated by the attention mechanism of the human visual system and rece...

0 Shahin Amiriparian, et al. ∙

∙ 07/10/2019

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mi...

0 Fabien Ringeval, et al. ∙

∙ 12/12/2017

auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks

auDeep is a Python toolkit for deep unsupervised representation learning...

0 Michael Freitag, et al. ∙

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