mimbres/neural-audio-fp
Official implementation of Neural Audio Fingerprint (ICASSP 2021)
This tool helps audio engineers and content creators identify short audio clips within much larger databases of audio. You input a collection of audio files to build a searchable database, and then input a short query audio clip. The tool outputs an exact match from your database, even if the query clip has background noise or distortion. This is ideal for anyone needing to verify the presence of specific audio segments in vast archives.
203 stars. No commits in the last 6 months.
Use this if you need to reliably find specific short audio segments within a very large collection of audio, even if the query audio is of low quality or has interference.
Not ideal if you're looking for approximate matches, audio similarity, or require real-time content identification in live streams, as this tool focuses on high-specificity retrieval.
Stars
203
Forks
26
Language
Python
License
MIT
Category
Last pushed
Aug 21, 2025
Commits (30d)
0
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