# High-precision audio analysis

A music genre classification model based on the wav2vec2 architecture, fine-tuned on the GTZAN dataset with 98% accuracy

A music genre classification model fine-tuned on distilhubert, achieving 84% accuracy on the GTZAN dataset

This is an audio classification model based on the distilhubert architecture, specifically designed for music genre recognition, achieving 89.72% accuracy after fine-tuning on the GTZAN dataset.

An automatic speech recognition model based on wav2vec2-large-xlsr-53, specifically optimized for StepMania game audio, fine-tuned on the GARY109/AI_LIGHT_DANCE dataset