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Found 5 papers, 1 papers with code
Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error
Training classification models on clinical speech is a time-saving and effective solution for many healthcare challenges, such as screening for Alzheimer’s Disease over the phone.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models
We fine-tune Llama2-7B as well as the recently introduced Gemma model using Low-rank Optimization on prompts generated from different sources of information on the \textsc{Deep} corpus.
M3TCM: Multi-modal Multi-task Context Model for Utterance Classification in Motivational Interviews
Accurate utterance classification in motivational interviews is crucial to automatically understand the quality and dynamics of client-therapist interaction, and it can serve as a key input for systems mediating such interactions.
MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions
This paper describes the MultiMediate'23 challenge and presents novel sets of annotations for both tasks.
HUMAN: Hierarchical Universal Modular ANnotator
A lot of real-world phenomena are complex and cannot be captured by single task annotations.
