Strategic Music Visualization: Empowerment Through Music – Medium
HONEYPOT KEYWORDS. SEE OTHER PINS & BOARDS. artist best browser chords classical community configurable culture driven dynamic fingerboard freely fretboard global graphical guitar haptic heritage instrument interactive interworking keyboard learn learning midi modal model modes musicxml notation open P2P peer percussion platform play pop prodigy program rhythm roadmap rock scales score shared software source star teaching theory tool Top tunable tuning visualisation visualization world
The Visual Future of Music
Our goal: making the instruments, skills and musical diversity of virtuoso ethnic musicians accessible, and exposing the deep comparative musicology insights currently locked either in static theoretical models, music theory books, or in the heads of great musical thinkers. Challenges? Sure. Bridging the gulf, for example, between written and aural traditions.
World Music Visualization Aggregator Platform: Key Features
Notation-driven instrument models are found in use with a number of existing notation systems, but the offerings are very basic: for the main part just guitar or piano display. The architecture (see above) is pretty much trivial. What distinguishes the platform under discussion here are the mechanisms for personalisation: especially instrument and theory tool modelling, selection and exchange. The underlying processes will be revealed in more detail on crowdfunding success.
Musical Modelling: Physical-Mathematical, Test-Based or Rule of Thumb?
For simple instruments such as those of the lute family, modelling is almost trivial. Here, the possible configurations -of which there may be thousands- can be derived using a small number of configuration steps. More idiosyncratic instruments, such as those of some woodwind families are perhaps better served by more empirical or heuristic approaches. Our primary interests lies in visual reuse and extensibility, not accurate physical models.
Why No Classification System For Music Theory Visualisations?
Just as we have the Hornbostel-Sachs (in principle visual) classification system for music instruments, expect a pragmatic, visual classification system for music theory tools.
The Visual Future of Music
Immediacy And Interactivity By Learning Approach. The learning experience differs greatly depending on the type of music learning tool chosen - and there is VAST scope for improvement.
Looking at technological advance in the context of the field of tension between immediacy and immersion, it becomes clear that the move towards instrument and theory tool models is a more or less natural step in an evolutionary progression.
World Music Visualization Aggregator Platform vs Soundslice
This diagram summarises some of the platform's characteristics. To emphasise the differences to other offerings, the link below compares it's approach with that of Soundslice, a very successful bitmap-based product offering synchronised video, audio, notation and simple instrument models.
The core functionality we want to see dancing together in support of remote or P2P teaching and learning are interworking notation, instrument models and theory tools. United on one platform, these could ultimately span the entire range of world music sytems, notations, instruments and tools.
The processes underlying platform population and usage are reasonably simple to understand. These are split, as you might expect, into two parts. During system population (provisioning) cycles, knowledgable users cycle through all recognisable permutations of instrument form, based a given generic instrument model or theory tool form. For simple instruments such as those of the lute family, this means that -amongst many others- an instrument with 5 double courses might be defined and…
Online Music Education: Visualization Aggregator Platform Goals And Synergies
A little simplistic and clichéd, but this still represents the core thoughts in a musician's mind as they tackle a new piece of music. Anything we can do to support these aims is to the good. The link below leads to a summary of long-term platform aspirations.
Music Visualization, Machine Learning And Artificial Intelligence.
The World Music aggregator platform can be viewed as a value chain offering many opportunities for artificial intelligence and machine learning integration. Here a few examples: can you spot some more?
How musical data is leveraged can impact both the immersive qualities and scope of an application. Artificial intelligence has potential to impact all current technology stacks, such as the conventional browser DOM, and the 3D web (including virtual and augmented reality).
Music learning goals can be finely differentiated, and are something we should be at pains to hold in focus during a time of rapid technological change. If the mobile web has led to a fragmentation and 'dumbing-down' of musical learning compared to traditional, face-to-face teaching, what will the move to the 3D web, artificial intelligence and virtual reality bring? Above all, there is a need for comprehensive and flexible integration frameworks.