# Lightweight Audio Model

This model is an audio classification model fine-tuned on the GTZAN music genre classification dataset based on DistilHuBERT, with an accuracy of 84%.

A baby cry recognition model fine-tuned based on the distilhubert model, achieving an accuracy of 86.96% on the evaluation set

An audio classification model fine-tuned on the GTZAN music classification dataset based on DistilHuBERT, achieving 83% accuracy

An audio classification model based on the DistilHuBERT architecture, fine-tuned on the GTZAN music genre dataset with an accuracy of 88%

An audio classification model based on the DistilHuBERT architecture, fine-tuned on the GTZAN music genre classification dataset with an accuracy of 86%

An audio classification model based on the DistilHuBERT architecture, fine-tuned on the GTZAN music genre classification dataset with an accuracy of 89%

A lightweight audio feature extraction model fine-tuned on GTZAN music classification dataset based on DistilHuBERT

This model is an audio classification model fine-tuned on the GTZAN music classification dataset based on DistilHuBERT, achieving 77% accuracy

An audio classification model based on the DistilHuBERT architecture fine-tuned on the GTZAN music classification dataset

This model is an audio classification model fine-tuned on the GTZAN music classification dataset based on distilhubert, achieving an accuracy of 83%

A lightweight audio classification model fine-tuned on the GTZAN music classification dataset based on the DistilHuBERT architecture

Audio classification model fine-tuned on the GTZAN music classification dataset based on distilhubert

An audio classification model fine-tuned on the GTZAN music classification dataset based on distilhubert, achieving 83% accuracy

An audio classification model based on the DistilHuBERT architecture, fine-tuned on the GTZAN music genre classification dataset with 91% accuracy

A model fine-tuned on the GTZAN music classification dataset based on DistilHuBERT, achieving 88% accuracy

This model is a fine-tuned version of distilhubert on the GTZAN music classification dataset, primarily used for music genre classification tasks.

An audio classification model fine-tuned on the GTZAN music classification dataset based on the DistilHuBERT architecture, achieving 88% accuracy

This model is a fine-tuned version of DistilHuBERT on the GTZAN music classification dataset, primarily used for music genre classification tasks.

This is an audio classification model fine-tuned on the GTZAN music classification dataset based on DistilHuBERT, achieving an accuracy of 82%

An audio classification model fine-tuned on the GTZAN dataset based on distilhubert, achieving 83% accuracy

A model fine-tuned on the GTZAN music classification dataset based on distilhubert, designed for music genre classification tasks