⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

March 22, 2026Open Access

AI-Driven Speech Profiling for Aphasia: Predicting Prosodic and Phonetic Severity via Automated Disfluency Analysis

Emma Al Kubaisi

View Full Paper

Ask AI

Bookmark

Share

Key Points

The aim is to investigate the use of AI in analyzing speech features related to aphasia severity.
Utilized machine learning techniques for data analysis.
Identified patterns in speech disfluencies.
Employed computational approaches to evaluate phonetic and prosodic elements.
Demonstrated potential for AI in assessing speech severity.
Highlighted the effectiveness of automated analysis in identifying linguistic patterns.
Indicated that AI can contribute to better evaluation methods for aphasia.

Implication

Preprint explores AI techniques for analyzing speech severity in aphasia, suggesting promising tools for evaluation.

Abstract

No abstract yet. The journal hasn't published one we can show.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Emma Al Kubaisi (2026) studied this question.

synapsesocial.com/papers/69c229b2aeb5a845df0d4862 https://doi.org/10.5281/zenodo.19161753

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Artificial Intelligence-Based Framework For Automatic Detection Of Dysarthria Severity Levels Using Speech AnalysisOriginal Research · 2026
2Linguistic Fingerprints in Aphasia: Exploring Speech Patterns Through LLM-Based Analysis2025
3AI-enhanced Speech and Voice Recognition Tools: Improving Communication for Children with Apraxia and Stuttering2025
4Advances and Challenges in Artificial Intelligence and Machine Learning for Multilingual Speech Disorder Diagnosis and Therapy: An Integrative Review2025
5Artificial intelligence-based speech error detection to differentiate primary progressive aphasia variantsOriginal Research · 2026

More related papers

An artificial intelligence-based audio recognition system for dysarthria home-based rehabilitation: A proof-of-concept study2026
AI-Driven Early Detection of Amyotrophic Lateral Sclerosis (ALS): A Machine Learning Approach Using Acoustic Biomarkers2025
The role of AI in the diagnosis of speech and language disorders: A systematic mapping study.2025