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TAME Pain data release: using audio signals to characterize pain.
Tu-Quyen Dao1, Eike Schneiders2,3, Jennifer Williams3
1University of Texas at Austin, Department of Molecular Biosciences, Austin, 78712, US. tuquyendao@austin.utexas.edu.
Scientific Data
|April 10, 2025
Summary
This study introduces the TAME Pain dataset, the largest collection of speech during induced pain. It enables AI development for non-invasive pain assessment, improving patient care.
Area of Science:
- Medical Science
- Artificial Intelligence
- Psychology
Background:
- Accurate pain assessment is crucial for patient care but remains challenging.
- Current methods for pain evaluation have limitations in clinical practice.
- Speech analysis offers a potential non-invasive method for pain detection.
Purpose of the Study:
- To introduce the TAME Pain dataset, a novel resource for studying the relationship between induced acute pain and speech in adults.
- To support the development of AI-driven technologies for objective pain assessment.
- To facilitate interdisciplinary research in pain management and healthcare.
Main Methods:
- Utilized the Cold Pressor Task (CPT) to induce acute pain in 51 adult participants.
- Recorded over 7,000 vocal utterances from participants reporting their pain levels.
- Collected comprehensive annotations including background noise, speech errors, and non-speech vocal features.
Main Results:
- The TAME Pain dataset is the largest publicly available dataset of its kind, correlating induced pain with speech characteristics.
- Data includes detailed annotations for advanced audio analysis and machine learning model development.
- Established a foundation for correlating vocal cues with self-reported pain intensity.
Conclusions:
- The TAME Pain dataset is a valuable resource for advancing non-invasive pain assessment technologies.
- Facilitates research in AI, psychology, and medical science for improved pain management.
- Has significant implications for telemedicine and remote healthcare settings, enhancing patient monitoring and care.
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