# High-accuracy audio classification

A fine-tuned voice command classification model based on facebook/wav2vec2-base, trained on the superb dataset with an accuracy of 98.09%

This model is a fine-tuned version of openai/whisper-tiny on a Marathi digit dataset, specifically designed for audio classification tasks of Marathi digits.

Audio classification model based on TRillsson3 architecture, fine-tuned on the superb dataset for keyword spotting tasks

An audio classification model based on the TRillsson3 architecture, fine-tuned for keyword detection tasks, achieving 91.5% accuracy on the evaluation set.