# Medical auxiliary diagnosis

A stuttering detection model fine-tuned based on the DistilHuBERT model, achieving 90.24% accuracy on the evaluation set

An audio classification model fine-tuned on the DonateACry dataset based on bookbot/distil-ast-audioset, designed for identifying infant cries

An audio classification model based on the wav2vec2 architecture, fine-tuned on the privateSLI dataset for age and gender recognition tasks

A multilingual nonverbal vocalization classification model based on the wav2vec2 architecture, capable of recognizing 16 common nonverbal sounds

This is a binary classification model based on the ViT architecture, designed to distinguish between male and female eye images.