Some Speech Codecs Hide Voice Pathology from a Fixed Detector: Directional Fidelity Readouts for Remote Voice Assessment

Guan-Yuan Chen; Von‐Wun Soo

doi:10.5281/zenodo.22734509

September 13, 2026Open Access

Some Speech Codecs Hide Voice Pathology from a Fixed Detector: Directional Fidelity Readouts for Remote Voice Assessment

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Key Points

Determine whether speech compression codecs obscure acoustic cues of voice pathology from automated detection algorithms during remote clinical voice assessments.
Evaluated the impact of various speech compression codecs on vocal recording quality and feature integrity.
Assessed automated classification performance using a fixed pathology detector across processed voice signals.
Implemented directional fidelity readouts to quantify codec-specific preservation of clinically relevant acoustic features.
Observed that specific speech codecs degrade or remove pathological acoustic cues, causing fixed automated detectors to fail.
Demonstrated that directional fidelity readouts can reliably benchmark which compression schemes preserve diagnostic acoustic signatures for remote voice healthcare.

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Implication

Computational evaluation reveals speech codecs obscure acoustic markers of voice pathology in remote callers, highlighting reliability risks for automated telemedicine screening tools.

Abstract

This manuscript is a non-peer-reviewed preprint.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/6aa7b42d0926e14a848b3c46 https://doi.org/10.5281/zenodo.22734509

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Some Speech Codecs Hide Voice Pathology from a Fixed Detector: Directional Fidelity Readouts for Remote Voice Assessment

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

Some Speech Codecs Hide Voice Pathology from a Fixed Detector: Directional Fidelity Readouts for Remote Voice Assessment

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

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