Comparing short audio files about neural-audio-fp HOT 1 CLOSED

@galarlo
Thanks for your interest in our work.

Yes, maybe it is possible. I would start with the default setup first and train the model on the train-set of this repo. Reducing the segment length or increasing the dimension can improve performance, but at the scale of your dataset it doesn't seem necessary. Default segment length of 1 sec can be used for 0.5 seconds input by simple zero-padding.

This repo performs a segment-level search, whereas your scenario is a file-level search. Modifications are needed on the post-processing side. Current search method outputs Top@K list of matching segments for each input first, and then within Top@C candidates it produces a list by match-ranking. Since it does not store 'segment ID'-to-'file ID' pairs info, you may need to construct the info to produce a file-match ranking.

W don't have any threshold parameters, which is directly related to FP and FN. However, the number of segment-search output K, and the number of candidates C are somewhat related to FP and FN.

from neural-audio-fp.