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LAME is an educational tool to be used for learning about MP3 encoding. The goal of the LAME project is to improve the psycho acoustics, quality and speed of MP3 encoding. Note: we provide source code only!
Identify duplicate songs based on track metadata (ID3, etc)
Given two trees of audio files, examine the metadata for each file to try and determine the differences in the content of the trees. This helps find duplicate songs (or non-duplicated songs) even if the music is stored in different formats. Toggles let you determine how specific the matching criteria must be: Track number and song name? Artist, album, and track length? All of the above?
Ultimately this program will let you delete duplicates from either the left or right trees, or copy...
Marsyas (Music Analysis, Retrieval and Synthesis for Audio Signals) is a framework for developing systems for audio processing. It provides an general architecture for connecting audio, soundfiles, signal processing blocks and machine learning.
Source code at SF is outdated! Marsyas is now hosted at GitHub:
https://github.com/marsyas/marsyas
Downloads are now provided at Bintray:
https://bintray.com/marsyas
Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. It has been renamed "pdatascope" to avoid a name-clash with Pyscope, a scoping package on PyPi. See https://sourceforge.net/p/pydatascope/ for the latest code.
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