AINeutralarXiv – CS AI · 4h ago5/10
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What Does a Pathological Speech Assessment Model Know about Acoustic Features? A Case Study on Oral and Oropharyngeal Cancer Patients
Researchers analyzed how a Wav2Vec 2.0-based machine learning model interprets acoustic features in speech from oral and oropharyngeal cancer patients. Using canonical correlation analysis, they found the model's learned representations most strongly correlate with spectral and prosodic features, providing practical insights for improving pathological speech assessment systems.