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sintel-dev / Orion

A machine learning library for detecting anomalies in signals.
https://sintel.dev/Orion/
MIT License
1.02k stars 158 forks source link

TadGAN for Audio #532

Open isaackargar opened 4 months ago

isaackargar commented 4 months ago

Hey,

Thank you for the great library. Have you also tested tadgan on audio data? Or high frequency signals?

sarahmish commented 4 months ago

Hi @isaackargar, thanks for opening an issue in Orion!

We have not explicitly tested that domain, however, we did deal with high frequency data. The most important element in this setting is to set the interval value into a proper value. See our documentation. Typically for high frequency signals, we resort to aggregating values over a fixed interval to reduce the dimension. Based on the properties of your dataset you can choose which interval value is appropriate.