Back to search

Article

Automatic Temporal Analysis of Speech: A Quick and Objective Pipeline for the Assessment of Overt Stuttering

2025-04-09

Abstract excerpt

<p>Purpose: Developmental stuttering is a communication disorder characterized by the production of stuttering disfluency, such as blocks, repetitions, prolongations. Accurate measurement of overt stuttering behavior can aid in diagnostic evaluation, determination of the optimal course of treatment, and for tracking progress in that treatment. In this study, we propose a novel method for the assessment of speech f...

Topics

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

Identifiers and source

Literature Corpus work
66bf0f39-a981-50e9-88a9-c05c3085c2dd
DOI
10.31234/osf.io/yu6f5_v2
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Automatic Temporal Analysis of Speech: A Quick and Objective Pipeline for the Assessment of Overt StutteringDOI 10.31234/osf.io/yu6f5_v2
Automatic Temporal Analysis of Speech: A Quick and Objective Pipeline for the Assessment of Overt StutteringSemantic proximity
Digital Speech Analysis in Progressive Supranuclear Palsy and Corticobasal SyndromesSemantic proximity
Automated and objective analysis of speech in premanifest and early-stage Huntington’s diseaseSemantic proximity
A Systematic Review of the Quantitative markers of speech and language of the Frontotemporal Degeneration Spectrum and their potential for cross-linguistic implementationSemantic proximity
Performance and biases of the LENA® and ACLEW algorithms in analyzing language environments in Down, Fragile X, Angelman syndromes, and populations at elevated likelihood for autismSemantic proximity
Performance and biases of the LENA® and ACLEW algorithms in analyzing language environments in Down, Fragile X, Angelman syndromes, and populations at elevated likelihood for autismSemantic proximity
Performance and biases of the LENA® and ACLEW algorithms in analyzing language environments in Down, Fragile X, Angelman syndromes, and populations at elevated likelihood for autismSemantic proximity
Performance and biases of the LENA® and ACLEW algorithms in analyzing language environments in Down, Fragile X, Angelman syndromes, and populations at elevated likelihood for autismSemantic proximity
Assessment and Treatment of Acquired Neurogenic Stuttering: A Single Subject StudySemantic proximity
Evaluating the feasibility of an automated classifier for target-child-directed speech from LENA recordingsSemantic proximity
AI-based Speech Error Detection to Differentiate Primary Progressive Aphasia VariantsSemantic proximity
Automated detection of speech timing alterations in autopsy-confirmed non-fluent/agrammatic variant primary progressive aphasiaSemantic proximity
Select a neighboring publication to make it the new centre.