Voice pathology detection
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Benchmarks
Most implemented
MVP: Multi-source Voice Pathology detection
Papers
Quantifying Quanvolutional Neural Networks Robustness for Speech in Healthcare Applications
Speech-based machine learning systems are sensitive to noise, complicating reliable deployment in emotion recognition and voice pathology detection. We evaluate the robustness of a hybrid quantum machine learning model, …
Voice pathology detectionQuantum Machine LearningEmotion RecognitionVoice Pathology Detection Using Phonation
Voice disorders significantly affect communication and quality of life, requiring an early and accurate diagnosis. Traditional methods like laryngoscopy are invasive, subjective, and often inaccessible. This research pro…
Voice pathology detectionData AugmentationMVP: Multi-source Voice Pathology detection
Voice disorders significantly impact patient quality of life, yet non-invasive automated diagnosis remains under-explored due to both the scarcity of pathological voice data, and the variability in recording sources. Thi…
SentenceVoice pathology detectionVoiceGRPO: Modern MoE Transformers with Group Relative Policy Optimization GRPO for AI Voice Health Care Applications on Voice Pathology Detection
This research introduces a novel AI techniques as Mixture-of-Experts Transformers with Group Relative Policy Optimization (GRPO) for voice health care applications on voice pathology detection. With the architectural inn…
DiagnosticMixture-of-ExpertsVoice pathology detectionReproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference Feature
Purpose: We introduce a novel methodology for voice pathology detection using the publicly available Saarbr\"ucken Voice Database (SVD) and a robust feature set combining commonly used acoustic handcrafted features with …
Feature EngineeringVoice pathology detectionAnalysis and Detection of Pathological Voice using Glottal Source Features
Automatic detection of voice pathology enables objective assessment and earlier intervention for the diagnosis. This study provides a systematic analysis of glottal source features and investigates their effectiveness in…
Voice pathology detection