Sandra Ottl

Orcid: 0000-0001-6740-506X

According to our database1, Sandra Ottl authored at least 24 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

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

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

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

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

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

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

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

2018
Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 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

2017
Snore Sound Classification Using Image-Based Deep Spectrum Features.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 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


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