Comments (3)
Agreed. Seems like a good use case. Perhaps the dejavu.fingerprint()
function should take a boolean argument and keep/remove the derivative wave files based on that. Would you be interested in adding this?
from dejavu.
sure, I'll work on this and #3 and send a pull request.
btw, can you explain where does the "confidence" value comes from, in the readme.md?.(and what exactly means)
from dejavu.
great!
the confidence value is the number of hashes that not only matched, but were "aligned" as well. See "Fingerprint Alignment" for exactly what that means.
from dejavu.
Related Issues (20)
- Comparing short audio files
- Python Docker image bloated
- A directory of potentially duplicate audio files?
- it works well with python3.6 ~
- Not working for recordings
- Some errors when I use python3.7
- multiple concurrency
- Fingerprinting Audio With Differing Sample Rates HOT 1
- Jscght
- figerprinting file HOT 1
- Any way to generate the result image of the plots? HOT 1
- Does this package supports Python 3 HOT 4
- does this project work well on recognizing human speak? HOT 5
- Problem running the sample project HOT 1
- erors using fingerprint_file HOT 1
- Audio file
- Recognize TV shows using an HLS playlist HOT 6
- psycopg2.OperationalError
- Implementing Dejavu System with Individual Fingerprint Tables for Audio Files
- 代码可读性太差了,为了炫技而炫技,屎一样
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from dejavu.