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Quickstart: Auditory Scene Analysis

Run windowed classification

uv run python -c "
from senselab.audio.data_structures import Audio
from senselab.audio.tasks.classification import classify_audios
from senselab.utils.data_structures import HFModel

audio = Audio(filepath='tutorial_audio_files/audio_48khz_mono_16bits.wav')
model = HFModel(path_or_uri='MIT/ast-finetuned-audioset-10-10-0.4593')
results = classify_audios([audio], model=model, win_length=1.0, hop_length=0.5)
for r in results[0][:5]:
    print(f'{r[\"start\"]:.1f}-{r[\"end\"]:.1f}s: {r[\"labels\"][0]} ({r[\"scores\"][0]:.3f})')
"