ArticleInterspeech2018
Classification of Huntington Disease using Acoustic and Lexical Features.
Article in Interspeech, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.
- Huntington's disease in MENAT: systematic review and meta-analysis of prevalence, clinical features, and genetics.Journal of neurology · 2025Pooled it
- An End-to-End Overview of Clinical Speech AI.IEEE transactions on audio, speech, and language processing (2025) · 2026Article
- Development and validation of a machine learning model to detect psychiatric symptoms in Huntington's disease using speech analysis.PloS one · 2026Article
- The potential of AI inspired approaches for patient monitoring in drug development for Huntington's disease: capturing the digital exhaust for activities of daily living.Frontiers in molecular medicine · 2026Review
- Digital assessment of speech in Huntington disease.Frontiers in neurology · 2024Article
- Exploring Huntington's Disease Diagnosis via Artificial Intelligence Models: A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2023Review
- Association Between Acoustic Features and Neuropsychological Test Performance in the Framingham Heart Study: Observational Study.Journal of medical Internet research · 2022Observational
- Feasibility of a continuous, multi-sensor remote health monitoring approach in persons living with neurodegenerative disease.Journal of neurology · 2022Article
- Article
- Understanding speech and swallowing difficulties in individuals with Huntington disease: Validation of the HDQLIFE Speech Difficulties and Swallowing Difficulties Item Banks.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021Article
- Article
- Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review.Digital healthReview
- Article
- Toward a Speech-Based Model of Premanifest Huntington's Disease Progression Using Deep Neural Networks.Digital biomarkersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Speech is a critical biomarker for Huntington Disease (HD), with changes in speech increasing in severity as the disease progresses. Speech analyses are currently conducted using either transcriptions created manually by trained professionals or using global rating scales. Manual transcription is both expensive and time-consuming and global rating scales may lack sufficient sensitivity and fidelity [1]. Ultimately, what is needed is an unobtrusive measure that can cheaply and continuously track disease progression. We present first steps towards the development of such a system, demonstrating the ability to automatically differentiate between healthy controls and individuals with HD using speech cues. The results provide evidence that objective analyses can be used to support clinical diagnoses, moving towards the tracking of symptomatology outside of laboratory and clinical environments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.