Katrin D. Bartl-Pokorny

According to our database, Katrin D. Bartl-Pokorny authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Challenges in Observing the Emotions of Children with Autism Interacting with a Social Robot.

Duygun Erol Barkana, Katrin D. Bartl-Pokorny, Hatice Kose, Agnieszka Landowska, Manuel Milling, Ben Robins, Björn W. Schuller, Pinar Uluer, Michal R. Wróbel, Tatjana Zorcec

Int. J. Soc. Robotics, December, 2024

Focused review on artificial intelligence for disease detection in infants.

Katrin D. Bartl-Pokorny, Claudia Zitta, Markus Beirit, Gunter Vogrinec, Björn W. Schuller, Florian B. Pokorny

Frontiers Digit. Health, 2024

Large language models for mental health.

Andreas Triantafyllopoulos, Yannik Terhorst, Iosif Tsangko, Florian B. Pokorny, Katrin D. Bartl-Pokorny, Lennart Seizer, Ayal Klein, Jenny Chim, Dana Atzil-Slonim, Maria Liakata, Markus Bühner, Johanna Löchner, Björn W. Schuller

CoRR, 2024

2023

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

Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller

Frontiers Digit. Health, May, 2023

2022

Is Speech the New Blood? Recent Progress in AI-Based Disease Detection From Audio in a Nutshell.

Manuel Milling, Florian B. Pokorny, Katrin D. Bartl-Pokorny, Björn W. Schuller

Frontiers Digit. Health, 2022

Evaluating the Impact of Voice Activity Detection on Speech Emotion Recognition for Autistic Children.

Manuel Milling, Alice Baird, Katrin D. Bartl-Pokorny, Shuo Liu, Alyssa M. Alcorn, Jie Shen, Teresa Tavassoli, Eloise Ainger, Elizabeth Pellicano, Maja Pantic, Nicholas Cummins, Björn W. Schuller

Frontiers Comput. Sci., 2022

Triplet Loss-Based Models for COVID-19 Detection from Vocal Sounds.

Adria Mallol-Ragolta, Florian B. Pokorny, Katrin D. Bartl-Pokorny, Anastasia Semertzidou, Björn W. Schuller

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Robot-Based Intervention for Children With Autism Spectrum Disorder: A Systematic Literature Review.

Katrin D. Bartl-Pokorny, Malgorzata Pykala, Pinar Uluer, Duygun Erol Barkana, Alice Baird, Hatice Kose, Tatjana Zorcec, Ben Robins, Björn W. Schuller, Agnieszka Landowska

IEEE Access, 2021

Speaking Corona? Human and Machine Recognition of COVID-19 from Voice.

Pascal Hecker, Florian B. Pokorny, Katrin D. Bartl-Pokorny, Uwe D. Reichel, Zhao Ren, Simone Hantke, Florian Eyben, Dagmar M. Schuller, Bert Arnrich, Björn W. Schuller

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

2020

The voice of COVID-19: Acoustic correlates of infection.

Katrin D. Bartl-Pokorny, Florian B. Pokorny, Anton Batliner, Shahin Amiriparian, Anastasia Semertzidou, Florian Eyben, Elena Kramer, Florian Schmidt, Rainer Schönweiler, Markus Wehler, Björn W. Schuller

CoRR, 2020

2018

The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats.

Björn W. Schuller, Stefan Steidl, Anton Batliner, Peter B. Marschik, Harald Baumeister, Fengquan Dong, Simone Hantke, Florian B. Pokorny, Eva-Maria Rathner, Katrin D. Bartl-Pokorny, Christa Einspieler, Dajie Zhang, Alice Baird, Shahin Amiriparian, Kun Qian, Zhao Ren, Maximilian Schmitt, Panagiotis Tzirakis, Stefanos Zafeiriou

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018