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Summary of Keynote Speeches from the 2024 Voice AI Symposium, presented by the Bridge2AI-Voice Consortium.
Front Digit Health
December 2024
Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, United States.
Article Synopsis
- The 2024 Voice AI Symposium in Tampa, FL, featured keynote speeches focusing on the role of voice AI in healthcare, highlighting its advancements and ethical challenges.
- Dr. Rupal Patel discussed innovative applications of voice AI for early health detection and monitoring, while Dr. Nicholson Price emphasized the need for robust governance to address regulatory issues.
- The event aimed to foster cross-disciplinary collaboration and establish ethical frameworks for the use of AI technologies in the healthcare sector.
Decoding disparities: evaluating automatic speech recognition system performance in transcribing Black and White patient verbal communication with nurses in home healthcare.
JAMIA Open
December 2024
Center for Home Care Policy & Research, VNS Health, New York, NY 10017, United States.
Article Synopsis
- The study explores the integration of automatic speech recognition (ASR) into home healthcare, specifically evaluating the transcription accuracy of four ASR systems while comparing their performance with Black and White English-speaking patients.
- The research analyzed audio recordings from 35 patients (16 Black and 19 White), focusing on 860 utterances to assess transcription accuracy using word error rate (WER) against a manual standard.
- Results indicate that while AWS General had the highest overall accuracy (39% median WER), all ASR systems struggled with transcribing speech from Black patients and exhibited notable performance disparities across different linguistic dimensions.
Background: The EXCELLENT registry aimed to evaluate the effectiveness of the EMBOTRAP Revascularization Device in an all-comer population in a real-world setting, with a focus on the composition of retrieved clots.
Methods: EXCELLENT is a prospective, global registry of patients with acute ischemic stroke treated with EMBOTRAP as the first-line mechanical thrombectomy device conducted at 34 sites (25 sites contributing clot) from September 2018 to March 2021, utilizing core imaging and central histology laboratories blinded to clinical data, independent 90-day modified Rankin Scale assessment and Clinical Events Committee.
Results: After screening 3799 patients, a total of 997 subjects (mean age, 70.
Workshop summaries from the 2024 voice AI symposium, presented by the Bridge2AI-voice consortium.
Front Digit Health
October 2024
Department of Otolaryngology, University of South Florida, Tampa, FL, United States.
Article Synopsis
- The 2024 Voice AI Symposium gathered experts to discuss advancements in voice biomarkers and AI applications in healthcare through five educational workshops.
- Topics covered included international standardization, real-world AI deployment, assistive technologies, best practices for data collection, and deep learning applications in voice analysis.
- Key outcomes emphasized the need for unified standards, challenges in practical AI deployment, ethical considerations in data collection, and innovations in managing voice disorders using AI technology.
Speech recognition in adverse conditions by humans and machines.
JASA Express Lett
November 2024
Department of Computational Linguistics, University of Zurich, Andreasstrasse 15, Zurich 8050,
In the development of automatic speech recognition systems, achieving human-like performance has been a long-held goal. Recent releases of large spoken language models have claimed to achieve such performance, although direct comparison to humans has been severely limited. The present study tested L1 British English listeners against two automatic speech recognition systems (wav2vec 2.
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