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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...

Introduction to DR14 T.meter DR14 T.meter is a free and opens source command line tool for computing the Dynamic Range of your music according to the procedure used in the off-line meter released by the Pleasurize Music Foundation. This tool is very useful to measure how is loud your music and for understanding that a good quality album always has also a good dynamic, and it's also useful for understanding the effects of the so called loudness war. Dr14 t.meter is released under the...

Python Script to process a wave file and transform to movement (key frames) on Blender 2.5. Input: sound file (.wav) Output: Key frames direct into the selected object Work to meshes and bones (location, scale or rotation in any axis)

Azul is a music organizer that automatically extracts archives, converts file formats, splits audio by CUE and then intelligently identifies, tags, and renames. Just tell Azul what folder to scan and it will do the rest.

This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.

Tune is a note/chord detecting program for use with guitars, pianos, or voices. It uses an FFT to analyze incoming sound and computes the root frequency.

Drum Count is a simple tool which analyzes sound in real-time to measure the number of strokes played on a drumset.

Terz the incredible AutoTagger is a automated Audio File Tagger and File Renamer. It uses information provided by musicbrainz. By using context information Terz achieves very good results. Other features: show incomplete albums, search for Duplicates ...

The UIless Playlist Manager intends to be a generic music player, capable of managing multiple playlists based on different criterias, scalable to accomodate the needs of end users. UPM is an experiment in AI-using playlist management technology.

eyeD3 is a Python module that provides the ability to read ID3 tags (v1 and v2), and MP3 headers (bit rate, sample frequency, play time).

SOMba is a Qt based program that allows multiple dancers to create a collaborative sonic space, using audio clips organized by a Self-Organizing Map. It uses the Marsyas framework for audio feature extraction and playback.