Voice pathology identification using mel spectrogram features and deep learning
Signal, Image and Video ProcessingAbstract Voice pathology is very important in the identification of vocal disorders. Traditional methods of diagnosing voice disorders using voice pathology are expensive, time-consuming, and subjective. The study proposed the identification of normal and pathological voices using the Arabic Voice Pathology Database (AVPD).
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