Abstract:

Voice disorders pose significant challenges to effective communication and necessitate accurate and timely diagnosis for appropriate treatment. Leveraging recent advancements in deep learning, particularly convolutional neural networks (CNNs), offers promising avenues for improving classification accuracy in medical diagnostics.

Description:

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