# Music Genre Recognition

This model is used to classify audio clips as either 'Suno' music or 'People' music.

Audio classification model based on Wav2Vec2 for music genre recognition

This model is an audio classification model based on the AST architecture and fine-tuned on the GTZAN music classification dataset, achieving an accuracy of 89%

This model is a fine-tuned version of Audio Spectrogram Transformer (AST) on the GTZAN music classification dataset for audio classification tasks, achieving an accuracy of 88%.

This model is an audio classification model based on the DistilHuBERT architecture, fine-tuned on the GTZAN music genre classification dataset, achieving an accuracy of 89%.

This is an audio classification model based on the AST (Audio Spectrogram Transformer) architecture, fine-tuned on the GTZAN music genre classification dataset.

This model is an audio classification model based on the DistilHuBERT architecture, fine-tuned 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 distilhubert, achieving 89% accuracy

This model is an audio classification model fine-tuned on the GTZAN dataset based on facebook/wav2vec2-base, primarily used for music genre classification tasks.

An audio classification model based on the DistilHuBERT architecture, fine-tuned on the GTZAN music genre classification dataset with an accuracy of 94.75%

This model is an audio classification model fine-tuned on the GTZAN music classification dataset based on DistilHuBERT, achieving an accuracy of 76.25%

An audio classification model based on AST architecture, fine-tuned on the GTZAN dataset for music genre classification tasks

An audio classification model fine-tuned on the GTZAN dataset based on openai/whisper-tiny, achieving 91% accuracy

This model is an audio classification model fine-tuned on the GTZAN music classification dataset based on DistilHuBERT, primarily used for music genre classification tasks.

An audio classification model fine-tuned based on facebook/wav2vec2-base for music genre recognition

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