Telephony-based voice pathology assessment using automated speech analysis
Autor: | P. de Chazal, Rosalyn J. Moran, P.D. Lacy, Richard B. Reilly |
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Rok vydání: | 2006 |
Předmět: |
Sound Spectrography
Computer science Speech recognition Biomedical Engineering Linear classifier Sensitivity and Specificity Speech Disorders Pattern Recognition Automated Speech Recognition Software Speech Production Measurement Artificial Intelligence Humans Phonation Telephony Diagnosis Computer-Assisted Noise measurement business.industry Reproducibility of Results VoiceXML Speech processing Telemedicine Telephone Mel-frequency cepstrum business Algorithms |
Zdroj: | IEEE transactions on bio-medical engineering. 53(3) |
ISSN: | 0018-9294 |
Popis: | A system for remotely detecting vocal fold pathologies using telephone-quality speech is presented. The system uses a linear classifier, processing measurements of pitch perturbation, amplitude perturbation and harmonic-to-noise ratio derived from digitized speech recordings. Voice recordings from the Disordered Voice Database Model 4337 system were used to develop and validate the system. Results show that while a sustained phonation, recorded in a controlled environment, can be classified as normal or pathologic with accuracy of 89.1%, telephone-quality speech can be classified as normal or pathologic with an accuracy of 74.2%, using the same scheme. Amplitude perturbation features prove most robust for telephone-quality speech. The pathologic recordings were then subcategorized into four groups, comprising normal, neuromuscular pathologic, physical pathologic and mixed (neuromuscular with physical) pathologic. A separate classifier was developed for classifying the normal group from each pathologic subcategory. Results show that neuromuscular disorders could be detected remotely with an accuracy of 87%, physical abnormalities with an accuracy of 78% and mixed pathology voice with an accuracy of 61%. This study highlights the real possibility for remote detection and diagnosis of voice pathology. |
Databáze: | OpenAIRE |
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