A real-time phoneme counting algorithm and application for speech rate monitoring

Aharonson, Vered; Aharonson, Eran; Raichlin-Levi, Katia; Sotzianu, Aviv; Amir, Ofer; Ovadia‐Blechman, Zehava

doi:10.1016/j.jfludis.2017.01.001

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…90 Another group deployed a smartphone application to recognize phonemic boundaries and interpret a patient's speaking rate for real-time speech therapy. 91 Future work in this direction will have to address several challenges. First, an infrastructure for the recording, processing and storage of high-quality patient audio will have to be established and standardized.…”

Section: Discussionmentioning

confidence: 99%

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Can you hear me now? Clinical applications of audio recordings

Kumar

Jaquenoud

Becker

et al. 2022

Preprint

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Audio and speech have several implicit characteristics that have the potential for the identification and quantification of clinical disorders. This PRISMA-guided review is designed to provide an overview of the landscape of automated clinical audio processing to build data-driven predictive models and infer phenotypes of a variety of neuropsychiatric, cardiac, respiratory and other disorders. We detail the important components of this processing workflow, specifically data acquisition and processing, algorithms used and their customization for clinical applications, commonly used tools and software, and benchmarking and evaluation methodologies. Finally, we discuss important open challenges for the field, and potential strategies for addressing them.

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Section: Discussionmentioning

confidence: 99%

“…90 Another group deployed a smartphone application to recognize phonemic boundaries and interpret a patient’s speaking rate for real-time speech therapy. 91…”

Section: Discussionmentioning

confidence: 99%

Can you hear me now? Clinical applications of audio recordings

Kumar

Jaquenoud

Becker

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Such a test is simple, requires very little training to perform, and could be performed reasonably easily as a dynamic, mobile cognitive assessment (Moore et al 2022 ). Further research has demonstrated slow speech in those with HE (Bloom et al 2021 ), and while such technologies have yet to be assessed in cirrhosis, there are mobile applications being researched for real time assessment of fluency and speech rate (Aharonson et al 2017 ). Several other mobile applications have been built to assess fluency and phonation for disease states such as Parkinson’s Disease (Byrom et al 2018a ).…”

Section: Current and Future Uses Of Mobile Technology In Cirrhosismentioning

confidence: 99%

Remote monitoring of cognition in cirrhosis and encephalopathy: future opportunity and challenge

Buckholz

Rosenblatt

2022

Metab Brain Dis

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Hepatic Encephalopathy (HE) is a critically important complication of chronic liver disease and portal hypertension, but especially in early covert stages remains underdiagnosed and a common cause of hospitalization and morbidity. Defined by often subtle neuropsychiatric changes, significant cognitive deficits have been extensively described. While traditional methods of assessment remain underutilized in practice and subject to significant confounding with other diseases, mobile technology has emerged as a potential future tool to provide simple and dynamic cognitive assessments. This review discusses the proliferation of cognitive assessment tools, describing possible applications in encephalopathy and the challenges such an implementation may face. There are significant potential advantages to assessing cognition in real time in order to aid early detection and intervention and provide a more realistic measurement of real-world function. Despite this, there are issues with reliability, privacy, applicability and more which must be addressed prior to wide proliferation and acceptance for clinical use. Regardless, the rapid uptake of mobile technology in healthcare is likely to have significant implications for the future management of encephalopathy and liver disease at large.

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