no code implementations • RaPID (LREC) 2022 • Birger Moell, Jim O’Regan, Shivam Mehta, Ambika Kirkland, Harm Lameris, Joakim Gustafson, Jonas Beskow
As part of the PSST challenge, we explore how data augmentations, data sources, and model size affect phoneme transcription accuracy on speech produced by individuals with aphasia.
no code implementations • 22 May 2024 • Ronald Cumbal, Birger Moell, Jose Lopes, Olof Engwall
The performance of Automatic Speech Recognition (ASR) systems has constantly increased in state-of-the-art development.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 22 May 2024 • Birger Moell
In the rapidly evolving field of artificial intelligence, large language models (LLMs) have demonstrated significant capabilities across numerous applications.
no code implementations • 15 May 2024 • Birger Moell
Objective: This study aims to compare the performance of two large language models, GPT-4 and Chat-GPT, in responding to a set of 18 psychological prompts, to assess their potential applicability in mental health care settings.
1 code implementation • 24 Feb 2021 • Rajmund Nagy, Taras Kucherenko, Birger Moell, André Pereira, Hedvig Kjellström, Ulysses Bernardet
To date, recent end-to-end gesture generation methods have not been evaluated in a real-time interaction with users.