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Will Drevo 2020-06-02 22:58:03 -07:00
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6
README.md
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@ -4,9 +4,9 @@ dejavu
Audio fingerprinting and recognition algorithm implemented in Python, see the explanation here: Audio fingerprinting and recognition algorithm implemented in Python, see the explanation here:
[How it works](http://willdrevo.com/fingerprinting-and-audio-recognition-with-python/) [How it works](http://willdrevo.com/fingerprinting-and-audio-recognition-with-python/)
Dejavu can memorize audio by listening to it once and fingerprinting it. Then by playing a song and recording microphone input, Dejavu attempts to match the audio against the fingerprints held in the database, returning the song being played. Dejavu can memorize audio by listening to it once and fingerprinting it. Then by playing a song and recording microphone input or reading from disk, Dejavu attempts to match the audio against the fingerprints held in the database, returning the song being played.
Note that for voice recognition, Dejavu is not the right tool! Dejavu excels at recognition of exact signals with reasonable amounts of noise. Note: for voice recognition, *Dejavu is not the right tool!* Dejavu excels at recognition of exact signals with reasonable amounts of noise.
## Quickstart with Docker ## Quickstart with Docker
@ -331,4 +331,4 @@ mp3 | 339
wav | 1885 wav | 1885
fingerprints | 377 fingerprints | 377
There's a pretty direct trade-off between the necessary record time and the amount of storage needed. Adjusting the amplitude threshold for peaks and the fan value for fingerprinting will add more fingerprints and bolster the accuracy at the expense of more space. There's a pretty direct trade-off between the necessary record time and the amount of storage needed. Adjusting the amplitude threshold for peaks and the fan value for fingerprinting will add more fingerprints and bolster the accuracy at the expense of more space.

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setup.py
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@ -42,7 +42,7 @@ setup(
author_email='will.drevo@gmail.com', author_email='will.drevo@gmail.com',
maintainer="Will Drevo", maintainer="Will Drevo",
maintainer_email="will.drevo@gmail.com", maintainer_email="will.drevo@gmail.com",
url='http://github.com/tuxdna/dejavu', url='http://github.com/worldveil/dejavu',
license='MIT License', license='MIT License',
include_package_data=True, include_package_data=True,
packages=find_packages(), packages=find_packages(),