A CNN plus LSTM model on 64 ms raw audio segments from SVD achieves 68% test accuracy for voice pathology detection, comparable to earlier work with different features.
V oice pathology detection on the saarbr ¨ucken voice database with calibration and fusion of scores using multifocal toolkit,
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Voice Pathology Detection Using Deep Learning: a Preliminary Study
A CNN plus LSTM model on 64 ms raw audio segments from SVD achieves 68% test accuracy for voice pathology detection, comparable to earlier work with different features.