Audio Classification
autrainer
audio
ecoacoustic-tagging
AlexanderGbd commited on
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Update README.md

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@@ -27,6 +27,8 @@ The model can be applied on all wav files present in a folder (`<data-root>`) an
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  For possible inference settings (e.g. using sliding window) and all usable parameters, please have a look at the [autrainer documentation](https://autrainer.github.io/autrainer/usage/cli_reference.html#autrainer-inference).
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  The following model usage is recommended:
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  ```autrainer inference hf:AlexanderGbd/insects-base-cnn10-96k-t /path/to/input/data /path/to/store/results -r -w 4 -s 4 -sr 96000```
 
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  For possible inference settings (e.g. using sliding window) and all usable parameters, please have a look at the [autrainer documentation](https://autrainer.github.io/autrainer/usage/cli_reference.html#autrainer-inference).
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+ The model requires an input file sampled at 96 kHz. <br>
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+ The "-sr 96000" flag will re-sample the audio if its sampling frequency differs from 96 kHz. <br>
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  The following model usage is recommended:
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  ```autrainer inference hf:AlexanderGbd/insects-base-cnn10-96k-t /path/to/input/data /path/to/store/results -r -w 4 -s 4 -sr 96000```