Questions Regarding Custom Data Testing in Audio Fragment Identification about neural-audio-fp HOT 1 CLOSED

@devkya Sorry for the late reply😅

1. Yes, if:

   • your 3-hour-long audio has moderately unique segments,
   • or you want to search all the segments similar to query.

2. As described in Fingerprint Generation, you should prepare a source directory that contains subfolders named test_query and test_db. You may put 3-hr audio in test_db, and some slices of queries in test_query. In fact, you won't need to slice them by yourself. Fingerprints will be sliced by segments anyway... Then follow the description about Search & Evaluation.

• EDIT: If you don't assume any specific noise in queries, don't slice it and just reuse the 3-hr audio as query. This way, the frame index of queries and db will exactly match.

5. No, unless you assume a very different type of data other than music. However, if you assume speech-only data for example, I recommend re-training using some speech-only data. If you assume a specific type of acoustic noise added to your query, you should use the similar type of noise for augmentation in training. The thing is, neural-FP mainly learns what kind of sound sources to discard in similarity search.

Hope this helps, good luck!

from neural-audio-fp.