---
license: bsd-3-clause
tags:
- audio-classification
- audio
- environmental-sound
datasets:
- ashraq/esc50
pipeline_tag: audio-classification
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
---

# AST Fine-tuned on ESC-50

An Audio Spectrogram Transformer (AST) model fine-tuned on the ESC-50 dataset for environmental sound classification.

## Model Description

This model is based on the [Audio Spectrogram Transformer](https://arxiv.org/abs/2104.01778) architecture, fine-tuned to classify 50 categories of environmental sounds. The AST applies a pure attention mechanism to audio spectrograms, treating them as sequences of patches similar to Vision Transformers (ViT).

## Training

- **Base Model**: MIT/ast-finetuned-audioset-10-10-0.4593
- **Dataset**: [ESC-50](https://github.com/karolpiczak/ESC-50) (Environmental Sound Classification)

## Labels

The model classifies audio into 50 environmental sound categories:

**Animals**: cat, chirping_birds, cow, crow, dog, frog, hen, insects, pig, rooster, sheep

**Natural Sounds**: crackling_fire, crickets, rain, sea_waves, thunderstorm, water_drops, wind

**Human Sounds**: breathing, brushing_teeth, clapping, coughing, crying_baby, drinking_sipping, footsteps, laughing, sneezing, snoring

**Domestic Sounds**: clock_alarm, clock_tick, door_wood_creaks, door_wood_knock, glass_breaking, keyboard_typing, mouse_click, toilet_flush, vacuum_cleaner, washing_machine

**Urban Sounds**: airplane, car_horn, church_bells, engine, fireworks, helicopter, siren, train

**Mechanical/Tools**: can_opening, chainsaw, hand_saw, pouring_water

## License

BSD-3-Clause