#Windowed music visualizer program update
#Windowed music visualizer program Patch
#Windowed music visualizer program full
#Windowed music visualizer program code

Once the program suggests loops, the user then auditions the candidates and discards any that may potentially dismember musical coherence. The duration of these suggested loops are an integer number of bars, thus maintaining the metrical integrity of the sample.

#Windowed music visualizer program Patch

Using a Max/MSP patch and onset detector object, the program finds and suggests possible points within a given sound sample that could serve as start and stop points for a loop. As a result, Wright developed a new technique that maintains the advantageous of looping while addressing the repetitiveness. Traditional looping is advantageous because a few seconds of music can germinate into an arbitrarily larger sample yet, looping quickly becomes dull because of its inherent repetition. Shifty Looping-x, a creative application of MIR, uses multi-feature audio segmentation and beat tracking to extend Matthew Wright’s original implementation and development of the shifty looping technique. Robert Miller, Shifty Looping-X: Expressive, meter-aware, non-repeating rhythmic looping In this project, I propose a novel approach to algorithmic composition, derived from techniques of MIR. However, these same procedures have not generally been considered from the perspective of generating audio content. Typically, a number of interesting mathematical procedures are employed in this task. Music information retrieval (MIR) typically starts with a particular audio file or collection of audio files from which the user would like to extract data (e.g. Aaron Demby Jones, MIR tool for algorithmic composition

licks could be played in any key, at any speed and variations.

main issue - database, and variation of licks.

project will be approached similar to the methods of speech recognition – using HMM.

usually quoted from the greats within the genre.

a lick is a form of imitation, or a quote – with the goal of developing the phrase and building personal style and vocabulary.

a 'lick' can be understood as a known sequence of notes used in solos and melodic lines in popular genres such as Jazz and Rock.

Anis Haron, Lick detection in an improvised passage However, the OpenFrameworks addon I used to achieve this effect does not seem to support alpha blending, which is a key improvement on the asethetic of the original visualizer.

#Windowed music visualizer program full

The texture feature determines the number of sides of each particle, shifting them from triangles to squares to pentagons all the way up to full circles. These visual features I'm mapping the audio features to so far are the lifetime and size of the particles, a spawning control, a trigger to scatter the particles, and color, opacity and 'texture' features which I haven't fully implemented.

A large part of the still ongoing process of using these features is determining useful ranges for their output and encapsulating that information in a way that makes it easy to swap features between different characteristics in the visuals.

#Windowed music visualizer program update

These features update on every FFT frame, synced to the audio callback in OpenFrameworks. So for each feature I stored all the same information I had been collecting for RMS for overall spectral energy, high frequency content, and the flux, spread, skewness, kurtosis, and slope of the spectrum. My strategy for expanding the number of different control parameters was to break down the behavior of the visualizer and reassign what had previously been controlled with different thresholds and short- and long-term histories of the RMS.

#Windowed music visualizer program code

However, because of the way my existing code was structured, I chose to stick to the low level features for now. Aubio offers a suite of higher level feature detection functions as well, including onset and pitch. I used the OpenFrameworks addon for Aubio written by Paul Reimer, which despite its lack of documentation still helped me integrate Aubio with my existing code. The original visualizer was controlled entirely by the RMS of the input signal, so I wanted to incorporate a number of the other low-level audio features we covered in class in order to add more depth to the visuals. The goal of my project was to extend an existing real time music visualization system I had written using OpenFrameworks.