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62 lines
1.2 KiB
Markdown
62 lines
1.2 KiB
Markdown
# How to configure spectrogram preprocessing
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Use this guide to set STFT, frequency range, and spectrogram transforms.
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## 1) Configure STFT and frequency range
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```yaml
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preprocess:
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stft:
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window_duration: 0.002
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window_overlap: 0.75
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window_fn: hann
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frequencies:
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min_freq: 10000
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max_freq: 120000
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```
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## 2) Configure spectrogram transforms
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`spectrogram_transforms` are applied in order.
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```yaml
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preprocess:
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spectrogram_transforms:
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- name: pcen
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time_constant: 0.4
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gain: 0.98
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bias: 2.0
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power: 0.5
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- name: spectral_mean_subtraction
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- name: scale_amplitude
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scale: db
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```
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Common built-ins:
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- `pcen`
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- `spectral_mean_subtraction`
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- `scale_amplitude` (`db` or `power`)
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- `peak_normalize`
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## 3) Configure output size
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```yaml
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preprocess:
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size:
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height: 128
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resize_factor: 0.5
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```
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## 4) Keep train and inference settings aligned
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Use the same preprocessing setup for training and prediction whenever possible.
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Large mismatches can degrade model performance.
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## Related pages
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- Why consistency matters:
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{doc}`../../explanation/preprocessing-consistency`
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- Preprocessing config reference:
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{doc}`../../reference/configs/data/preprocessing-config`
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