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Updated: Feb 17, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Characterizing stroke-affected speech using F0 and duration-based features.

M V S Jyothi¹, Oindrila Banerjee¹, D Govind²

¹Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP, 522302, India.

Scientific Reports

|February 15, 2026

Summary

This summary is machine-generated.

Speech analysis reveals distinct pitch (F0) and duration patterns in stroke patients. Stroke patients exhibit altered F0 contours and speech transition durations compared to healthy individuals.

Keywords:

Duration analysis F0 contour Impaired speech analysis Stroke speech analysis Transition and steady state regions

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Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

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Published on: July 14, 2023

Area of Science:

Neurolinguistics
Speech Science
Biomedical Engineering

Background:

Stroke can significantly impact speech production, affecting prosodic features like pitch and duration.
Characterizing these speech alterations is crucial for diagnosis and rehabilitation.

Purpose of the Study:

To analyze pitch (F0) and duration features in speech from stroke patients.
To differentiate speech characteristics between stroke survivors and healthy controls.

Main Methods:

Developed a speech corpus from 50 stroke patients and 50 healthy speakers.
Performed gender-specific statistical analysis of F0 contours and speech region durations.
Utilized cepstral coefficient analysis to estimate transition and non-transition region durations.
Validated findings using one-way ANOVA tests.

Main Results:

Median F0 distinguished stroke patients from controls, with females showing lower F0 and males showing higher F0.
Stroke patients exhibited shorter transition regions and longer non-transition (steady state) regions.
Higher relative transition areas were observed in stroke patients.

Conclusions:

F0 and duration patterns in speech are reliable indicators differentiating stroke patients from healthy individuals.
These acoustic features offer potential biomarkers for stroke-related speech impairments.
Further research can explore therapeutic interventions based on these findings.