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Presto-Chango-1.0.2


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توضیحات

Music identification through audio fingerprinting
ویژگی مقدار
سیستم عامل OS Independent
نام فایل Presto-Chango-1.0.2
نام Presto-Chango
نسخه کتابخانه 1.0.2
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Prayag Savsani
ایمیل نویسنده prayag.s@ahduni.edu.in
آدرس صفحه اصلی https://github.com/yashrajkakkad/presto-chango
آدرس اینترنتی https://pypi.org/project/Presto-Chango/
مجوز -
# Music Identification Through Audio Fingerprinting <a href="https://pypi.org/project/Presto-Chango/"><img alt="PyPI" src="https://img.shields.io/pypi/v/Presto-Chango"></a> <img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/Presto-Chango"> <img alt="PyPI - License" src="https://img.shields.io/pypi/l/Presto-Chango"> <br> Identifies a song from a small recording (say 30 seconds). The song has to be a part of your created database, of course. This project is essentially a simplified version of what Shazam does. ## The Idea The flowchart on the right describes the series of steps. <img src="https://github.com/yashrajkakkad/presto-chango/blob/master/flowchart.png?raw=true" align="right" height="440"> Below is a brief summary. For detailed explanation with analysis, check out our [Report](https://drive.google.com/open?id=1xbEC75FN3AIidWBd8bckgi4QeNJDdN-b). We decimate the audio signal by a factor of 4 after passing it through a low pass filter (to smartly avoid [aliasing](https://en.wikipedia.org/wiki/Aliasing)). Thereafter, the signal is converted to frequency domain using the famous Fast Fourier Transform. We take small chunks of the sample (roughly 0.3 seconds) and take the peak frequencies along a logarithmic scale. Those values are then associated with a hash value. We do so for all the songs and hence create a database. We perform similar steps for the recorded sample. The answer is the song with the highest number of matches for a particular offset value. ## Requirements - Python 3+. - pip (package installer for Python). See [here](https://pip.pypa.io/en/stable/installing/) for installation. - ffmpeg. See [here](https://github.com/adaptlearning/adapt_authoring/wiki/Installing-FFmpeg) for installation. - PortAudio. Only for Linux/OSX users. Check your distribution's repos for latest builds. Instead you can also build it from source, see [here](http://www.portaudio.com/download.html). ## Installation - Install using pip (preferred in a virtual environment). ```sh pip install Presto-Chango ``` ## Usage - On the first run, create your database by specifying the location of your songs directory. ```sh presto-chango create-db <songs-directory> ``` - Identify a song by either recording in real time or using a pre-recorded sample. ```sh # Record in real time presto-chango identify # Use a pre-recorded sample presto-chango identify --file=samples/sample1.wav ``` - The algorithm returns the top five matches and the number of offsets that matched for each of them. Example ```sh $ presto-chango identify --file="samples/sample_GAY.wav" Loading database . . . Database loaded Processing... Results: Kane Brown - Good as You (Official Music Video)_mS3TeZEp_PE.wav 41 Katy Perry - Never Really Over (Official)_aEb5gNsmGJ8.wav 39 Ed Sheeran - Perfect (Official Music Video)_2Vv-BfVoq4g.wav 37 Cody Johnson - On My Way To You (Official Music Video)_RKUENGsDXBA.wav 24 Jason Aldean - Rearview Town_WEUUvntknTI.wav 23 ``` ## Building the source code - Clone the repository ```sh git clone https://github.com/yashrajkakkad/presto-chango.git cd presto-chango ``` - Create a virtual environment ```sh python -m venv venv source venv/bin/activate ``` - Install the package. The `--editable` flag makes it so that we don't have to reinstall everytime we make some change. ```sh pip install --editable . ``` ## Testing You can run the tester code if you're too lazy to record songs. It will cut random 30 second samples from songs and run the algorithm. ```sh python tester.py ``` ## References - [How does Shazam work | Coding Geek](http://coding-geek.com/how-shazam-works/) - [Creating Shazam in Java](https://royvanrijn.com/blog/2010/06/creating-shazam-in-java/)


نیازمندی

مقدار نام
- Click
- scipy
- numpy
- scikit-image
- matplotlib
- pydub
- pyaudio
- appdirs


نحوه نصب


نصب پکیج whl Presto-Chango-1.0.2:

    pip install Presto-Chango-1.0.2.whl


نصب پکیج tar.gz Presto-Chango-1.0.2:

    pip install Presto-Chango-1.0.2.tar.gz