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 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 (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