AIMC Topic: Speech Recognition Software
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A Greek Conversational Agent for Hematologic Malignancies: Usability and User Experience Assessment.
Studies in health technology and informatics
Aug 22, 2024
Enabling patients to actively document their health information significantly improves understanding of how therapies work, disease progression, and overall life quality affects for those living with chronic disorders such as hematologic malignancies...
Benchmarking Automatic Speech Recognition Technology for Natural Language Samples of Children With and Without Developmental Delays.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Natural language sampling (NLS) offers rich insights into real-world speech and language usage across diverse groups; yet, human transcription is time-consuming and costly. Automatic speech recognition (ASR) technology has the potential to revolution...
Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Implicit bias can impede patient-provider interactions and lead to inequities in care. Raising awareness is key to reducing such bias, but its manifestations in the social dynamics of patient-provider communication are difficult to detect. In this st...
Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input.
Proceedings of the National Academy of Sciences of the United States of America
Feb 9, 2021
Before they even speak, infants become attuned to the sounds of the language(s) they hear, processing native phonetic contrasts more easily than nonnative ones. For example, between 6 to 8 mo and 10 to 12 mo, infants learning American English get bet...
Phonetic variability constrained bottleneck features for joint speaker recognition and physical task stress detection.
The Journal of the Acoustical Society of America
Nov 1, 2020
Normalizing intrinsic variabilities (e.g., variability in speech production brought on by aging, physical or cognitive task stress, Lombard effect, etc.) in speech and speaker recognition models is essential for system robustness. This study focuses ...
Alexa, do I have COVID-19?
Nature
Oct 1, 2020
Humans
Machine Learning
Depression
Dementia
Mobile Applications
Mass Screening
Dyspnea
Privacy
Parkinson Disease
Speech Recognition Software
Coronavirus Infections
Triage
False Positive Reactions
Biomarkers
Autism Spectrum Disorder
Pulmonary Disease, Chronic Obstructive
Pandemics
COVID-19
Voice
Speech Disorders
Pneumonia, Viral
Clinical, Legal, and Ethical Aspects of Artificial Intelligence-Assisted Conversational Agents in Health Care.
JAMA
Aug 11, 2020
"Sorry I Didn't Hear You." The Ethics of Voice Computing and AI in High Risk Mental Health Populations.
AJOB neuroscience
Jan 1, 2020
This article examines the ethical and policy implications of using voice computing and artificial intelligence to screen for mental health conditions in low income and minority populations. Mental health is unequally distributed among these groups, w...
Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning.
JAMA internal medicine
Jun 1, 2019
This study assesses the feasibility of using machine learning to automatically populate a review of systems of all symptoms discussed in an encounter between a patient and a clinician.
An electronic fly on the clinical wall: voice-recognition AI in medicine.
CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne
May 27, 2019
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