Article

A Clinical Speech Corpus with Temporally Aligned Sensitive Health Information

2026-04-03

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objectives</h4> Due to privacy constraints, the sensitivity of medical speech, and the complexity of speech-level annotation, publicly available datasets for clinical speech de-identification remain scarce. To address this gap, we constructed the SREDH-AI Cup Sensitive Health Information (SHI) speech corpus, a time-aligned clinical speech dataset annotated for 26 SHI categories. <h4>Methods...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: cb20db9c-e818-50af-93b2-5f703bc359c4
DOI: 10.64898/2026.03.31.26349906

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Clinical Speech Corpus with Temporally Aligned Sensitive Health InformationDOI 10.64898/2026.03.31.26349906Read

Assessing the Effectiveness of Automatic Speech Recognition Technology in Emergency Medicine Settings: A Comparative Study of Four AI-powered EnginesSemantic proximity Read

Omicron detection with large language models and YouTube audio dataSemantic proximity Read

Automated speech content analysis to detect depression with large language models: towards multilingual and few-shot capabilitiesSemantic proximity Read

<i>Can you hear me now</i>? Clinical applications of audio recordingsSemantic proximity Read

Automated speech analysis for risk detection of depression, anxiety, insomnia, and fatigue: Algorithm Development and Validation StudySemantic proximity Read

Clinical safety evaluation of ambient voice technologies in surgical documentationSemantic proximity Read

A Comparison of HIPAA-Compliant Transcription Services for Virtual Psychiatric InterviewsSemantic proximity Read

Acoustic-Driven Generation of Pathological Speech Reports Using Large Language ModelsSemantic proximity Read

A new strategy on Early diagnosis of cognitive impairment via novel cross-lingual language markers: a non-invasive description and AI analysis for the cookie theft pictureSemantic proximity Read

Benchmarking Speech Recognition Models for Medical Consultations in Latin American Spanish: A Comparative Evaluation with Fine-TuningSemantic proximity Read

Automated transcription in primary progressive aphasia: Accuracy and effects on classificationSemantic proximity Read

Assessing Whisper for Infant Research: Benchmarking ASR Accuracy and Failure Analysis on Caregiver-Infant InteractionsSemantic proximity Read