Free musical scales software for linux

jMusic is a project designed to provide composers and software developers with a library of compositional and audio processing tools.

It provides a solid framework for computer-assisted composition in Java, and is also used for generative music, instrument building, interactive performance, and music analysis.

jMusic supports musicians with its familiar music data structure based upon note/sound events, and provides methods for organising, manipulating and analysing that musical data. jMusic scores can be rendered as MIDI or audio files for storage and later processing or playback in real-time.

jMusic can read and write MIDI files, audio files, XML files, and its own .jm files; there is real-time support for JavaSound, QuickTime and MIDIShare. jMusic is designed to be extendible, encouraging you to build upon its functionality by programming in Java to create your own musical compositions, tools, and instruments.

In a spirit of mutual collaboration, jMusic is provided free and is an open source project. jMusic is 100% Java and works on Windows, Mac OS, Linux, BSD, Solaris, or any other platform with Java support.

Sonic Visualiser is an application for viewing and analysing the contents of music audio files.
The aim of Sonic Visualiser is to be the program you reach for when you find a musical recording you want to study rather than simply hear.
As well as a number of features designed to make exploring audio data as revealing and fun as possible, Sonic Visualiser also has powerful annotation capabilities to help you to describe what you find, and the ability to run automated annotation and analysis plugins in the new Vamp analysis plugin format.
We hope Sonic Visualiser will be of particular interest to musicologists, archivists, signal-processing researchers and anyone else looking for a friendly way to take a look at what lies inside the audio file.
Main features:
- Load audio files in WAV, Ogg and MP3 formats, and view their waveforms.
- Look at audio visualisations such as spectrogram views, with interactive adjustment of display parameters.
- Annotate audio data by adding labelled time points and defining segments, point values and curves.
- Overlay annotations on top of one another with aligned scales, and overlay annotations on top of waveform or spectrogram views.
- View the same data at multiple time resolutions simultaneously (for close-up and overview).
- Run feature-extraction plugins to calculate annotations automatically, using algorithms such as beat trackers, pitch detectors and so on.
- Import annotation layers from various text file formats.
- Import note data from MIDI files, view it alongside other frequency scales, and play it with the original audio.
- Play back the audio plus synthesised annotations, taking care to synchronise playback with display.
- Select areas of interest, optionally snapping to nearby feature locations, and audition individual and comparative selections in seamless loops.
- Time-stretch playback, slowing it down to as little as 10% of the original speed while retaining a synchronised display.
- Export audio regions and annotation layers to external files.
The design goals for Sonic Visualiser are:
- To provide the best available core waveform and spectrogram audio visualisations for use with substantial files of music audio data.
- To facilitate ready comparisons between different kinds of data, for example by making it easy to overlay one set of data on another, or display the same data in more than one way at the same time.
- To be straightforward. The user interface should be simpler to learn and to explain than the internal data structures. In this respect, Sonic Visualiser aims to resemble a consumer audio application.
- To be responsive, slick, and enjoyable. Even if you have to wait for your results to be calculated, you should be able to do something else with the audio data while you wait. Sonic Visualiser is pervasively multithreaded, loves multiprocessor and multicore systems, and can make good use of fast processors with plenty of memory.
- To handle large data sets. The work Sonic Visualiser does is intrinsically processor-hungry and (often) memory-hungry, but the aim is to allow you to work with long audio files on machines with modest CPU and memory where reasonable. (Disk space is another matter. Sonic Visualiser eats that.)

The Million Musician Challenge is a project to allow you to play music by playing games. The first game is a 2D vertically scrolling shoot-em-up game.

The keyboard (qwerty or musical) controls an array of sprites corresponding to the music notes. As you shoot the falling sprites, you play notes corresponding to the music.

Musix GNU+Linux is a Free Operating system intended for musicians and users in general. Musix GNU+Linux also contains an enormous collection of free programs.
The system will boot from your CD/DVD drive, with no need to install anything on your hard disk. The programs currently support the Spanish and English languages.
Main features:
- Master for CD
- Publish musical scores
- Print musical scores
- Create MIDI Instruments
- Record and reproduce Audio and MIDI
- Edit and mix Audio and MIDI tracks with Multitrack Sequencers/Editors
- Perform noise-reduction to recover recordings
- Use effects in real time with any device (microphone, line, etc.)
- Connect a keyboard or another MIDI device and control the available software synthesizers

GNU Solfege is a computer program written to help you practice ear training. GNU Solfege project can be useful when practicing the simple and mechanical exercises.
Main features:
- Recognise melodic and harmonic intervals
- Compare interval sizes
- Sing the intervals the computer asks for
- Identify chords
- Sing chords
- Scales
- Dictation
- Remembering rhythmic patterns
The program is portable. Versions of Solfege has ran on recent releases of Debian, Redhat, Mandrake, SuSE, FreeBSD 4.2, MS Windows 95/98/2000/XP and MacOSX. It should be easy to make the program run on any unix like operating system, for example Solaris or BeOS, if you have gtk+, python and pygtk installed. The old MacOS will not work because gtk+ and pygtk is not ported to that OS.
GNU Solfege is free software, and is a part of the GNU Project.

Random Phase Music Generator is a small program that generates random phase music. Random music has been around for a long time (from Mozarts musical dice game to John Cages chance music), but phase music was invented rather recently by Steve Reich.

It would be interesting to combine those ideas, so I have written this program as a tool for further experiments. Type xmkmf and then make to compile the program. LessTif users, replace xmkmf with mxmkmf.

If your xmkmf is broken, you have to install manually. Edit Makefile.man (examples for Solaris, AIX and LessTif are provided). Make sure INCS and LIBS are linking to the correct directories, then type make -f Makefile.man to compile.

Run phase from an X terminal. Some users might need to point LD_LIBRARY_PATH to the Motif libraries. After starting up the program, you can use the File menu to load or save the panel settings, and the Music menu to play the generated phase music or save it to a MIDI file.