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@iranroman iranroman commented Apr 5, 2024

Let's use this PR to consolidate the scripts to generate data using API v0.1, and report results obtained with this data.

This will serve as documentation of high-level testing for the library.

I'm including so far:

  • data_generation_TAU_MIC.py: script to generate MIC TAU data that is functionally equivalent to the MIC format data here
  • data_generation_TAU_DOA.py: script to generate FOA TAU data that is functionally equivalent to the FOA format data here
  • SELDnet23_training_with_SS_TAU_results.md: results when using SpatialScaper-generated data to train SELDnet23.
  • SELDnet23_inference_on_rooms.md: shows performance by an optimal and third-party SELDnet23 model on SpatialScaper-generated data.

I'll edit this PR header and files as I get more results.

@iranroman iranroman changed the title Scripts for data generation and results Scripts for data generation and results experimenting with SELDnet23 Apr 5, 2024
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