Closed jasonlyik closed 8 months ago
The S2S algorithm seems to have timesteps = (sample_frequency / hop_length) + 1. Is this intended behavior? We could remove the first timestep by adding spikes = spikes[:,1:,:] before returning.
spikes = spikes[:,1:,:]
TODO: check accuracy on ANN/SNN benchmark when reduced to 200 timesteps
Seems like there is negligible change in accuracy / sparsity by removing the first timestep on both the GSC and the MSWC tasks.
The S2S algorithm seems to have timesteps = (sample_frequency / hop_length) + 1. Is this intended behavior? We could remove the first timestep by adding
spikes = spikes[:,1:,:]
before returning.