Open Source Python Audio Analysis Software

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!

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 terms of the GNU GPLv3 license and is intended for the Linux users that can not use the Windows application released by the Pleasurize Music Foundation or the plugin for Foobar2000. I've largely tested this application and it has always returned results identical to those of the official off-line meter.

Loris is a library for sound analysis, synthesis, and morphing, developed by Kelly Fitz and Lippold Haken at the CERL Sound Group. Loris includes a C++ class library, Python module, C-linkable interface, command line utilities, and documentation.

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.

The project contains a small command line tool (written in Python) that analyses the file structure (ID3 and frame headers) of MP3 files and projects the structure into a JSON object.

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).

AudiooPy stands for "Audio Manager in Python Object-Oriented Programming." This library provides a range of useful operations for sound files and audio fragments. It processes audio at the frame level, working with signed integer samples of 8, 16, or 32 bits, stored in byte-like objects. Key features include: - Reading and writing WAV files using Python's standard library. - A scientifically validated method for automatically detecting sound segments in speech. - Manipulation of raw audio data. - Audio mixing capabilities. - Automated computation of statistical descriptors for audio data. - Channel extraction. - Channel mixing. AudiooPy is entirely self-contained and does not rely on any external libraries. <https://img.shields.io/pypi/v/AudiooPy>

DTMF detector library and/or application that reads in the specified audio file and returns/outputs whether DTMF detected and/or list of detected digits. May have GUI and command line interfaces.

Open-source content and evaluation framework for music transcription systems. Can be used as monophonic or polyphonic database, through software mixing.

Various tools for analysis of mySpace relationships and media

A C++ library and Python module for audio synthesis featuring dynamic digital filters. Nsound lets you easily shape waveforms and write to disk or plot them. Nsound aims to be as powerful as Csound but easy to use.

Pumilio is a web-based sound analysis and archive system for almost any kind of sound file with tools to see the spectrogram of the sound, select regions for further analysis and insertion in a database, filtering, and many other manipulations.

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.

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 ...

A collection of scripts and programs to automatically annotate video/audio for subtitles. Basically relies on a MARSYAS (Music Analysis, Retrieval and Synthesis for Audio Signals) plug-in for detecting human voice in polyphonic recordings.

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.

Braun is an application for visualising Open Sound Control (OSC) data on a scrolling graph.

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

GeneticM takes ProjectM preset files and allows you to breed them together to evolve and grow new visualizations with unique traits and visual effects.

Harmonia is a tool for analyzing music scores exported to MIDI or MusicXML format. It allows you to detect voices inside a single MIDI track (eg. live piano recording), main themes (and their motifs), harmonic key and chord interpretation.

If you want to easily find and remove audio duplicate from a music collection IL Music Library Deduplicator is for you. It can distinguish between similar songs offering you a list with best matches highlighted in green. Audio files with lower similarity are listed as well in case there are duplicates with lower bitrate. These are highlighted in yellow and red. You can select them by color if you wish to delete them or you can add them to a list with excluded files in case you wish to keep duplicates or not to be scanned next time. First scan may take a while depending on your PC and number of audio files, but on subsequent scans only newly added files will be scanned. IL Music Library Deduplicator is portable and doesn't require instalation and also is free. It is written in Python and is using Chromaprint fpcalc for audio fingerprinting. It can find duplicates even if audio files have no metadata or have a different filename.

Speach recognition project for Lithuanian language.

MacVisSTA: Macintosh Visualization for Situated Temporal Analysis. This is an open source system designed for Mac OS X. This software permits visualization of multiple time-synchronized videos in conjunction with one or more graphical plots/annotations.

Moodtrack contains Python classes for music-emotion analysis and assembly, enabling users to build soundtracks based on emotion and timing. USERS: Music Supervisors/Composers/Producers, Game Audio Developers, Content Providers. FILM DEMO: moodtrack.tv