The use of the internet and smartphones has facilitated the growth of the sharing economy as the exchange of commodities, networks or services become more efficient with the variety of sharing platforms accessible to users (Geiger, 2017).
In terms of the music industry, the sharing economy has facilitated the exchange and co-creation of music with the initial rise of instrument rental sites and marketplaces online.
Sparkplug Marketplace was the first original peer-to-peer music instrument marketplace established in 2014 for musicians to list and rent their personal instruments for other musicians or hobbyists that want to rent instruments during flexible periods of time and also at affordable rates (Hayes, 2014).
The sharing economy has changed the way musicians think of instrument ownership and it’s sentimental value.
However, innovation in music has gone beyond the sharing of physical assets. AI is now a popular element that has greatly impacted operations of music related services in the sharing economy.
AI systems have the ability to interpret and learn from external data such as deep learning and machine learning to display human-like intelligence and functions that achieve specific goals and tasks directed (Chen et al., 2021).
Going back as far as the 1990s, the Verbasizer was an application that created new word combinations from literary sources that could assist musicians in songwriting (Braga, 2016).
In more recent times, most AI music tools and frameworks found online have been used to generate melodies and music styles with the compilation of random rhythms, tones and musical instruments (The Research Nest, 2020). MuseNet is one example of an online AI service that generates four minute compositions with up to 10 instruments in different musical genres (Porter, 2019).
Considering that there is already an existing industry with AI services creating music, what makes our platform, D.N.A(I), different, is the fact that our service will be the first AI system that combines both the song writing process and music composing process into one.
D.N.A(I) strives to develop a highly sophisticated AI that can complete a musician’s train of thought by simply inputting the first few lines of a song the musician has in mind and then customising the style and genre of continuing verses to be generated by George, D.N.A(I)’s smart music bot.
This demonstrates how AI tools on sharing economy platforms such as ours will be able to enhance trust, match assets and fully understand users’ preferences on the platform (Chen et al., 2021).
While there may be concerns on the violation of norms and potential risks in sharing valuable assets with strangers on online sharing platforms, the exchange of AI intelligence eliminates such fears of the loss or tampering of objects or spaces.
Moreover, D.N.A(I)’s AI system was designed with artists’ consent to avoid trademark protections or violate personal personas of popular artists. Since the end product would ultimately be original lyrics or an original song, artists’ personas who inspired the AI generated pieces would be recognised and appreciated as users pay a premium price to acknowledge their high quality music style.
With the birth of an AI music genre approaching, award-winning artists will gain exposure by being a great influence to the songs produced and sung by the artists of tomorrow.
Lastly, the sharing economy was designed to alleviate social problems such overconsumption by mobilising underutilised assets for monetary or non-monetary benefit (Chen et al., 2021).
And what better way to promote this cause by providing an AI system that digitises all of your musical resources for you? The future of AI music would not only allow artists to create music better but also minimise the costs of producing award winning material.
D.N.A(I) was made for the 91% of undiscovered artists ready to take a chance and make their name known in the music industry worldwide (Ulloa, 2014). We are the future of creative software prepared to serve you.
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References:
Braga, M. (2016, January 11). The Verbasizer was David Bowie’s 1995 lyric-writing Mac app.
Vice. https://www.vice.com/en/article/xygxpn/the-verbasizer-was-david-bowies-1995-lyric-writing-mac-app
Chen, Y., Prentice, C., Weaven, S., & Hsiao, A. (2021). A systematic literature review of AI in
the sharing economy. Journal of Global Scholars of Marketing Science, 1-18. https://doi.org/10.1080/21639159.2020.1808850
Geiger, A., Horbel, C., & Germelmann, C. C. (2018). "Give and take": How notions of sharing
and context determine free peer-to-peer accommodation decisions. Journal of Travel & Tourism Marketing, 35(1), 5–15. https://doi.org/10.1080/10548408.2016.1231101.
Hayes, T. (2014). Sparkplug is a site that helps musicians rent out gear to each other. Paste
Magazine. https://www.pastemagazine.com/tech/sparkplug-helps-musicians-rent-out-gear-to-each-ot-1/
Porter, J. (2019, April 26). OpenAI’s MuseNet generates AI music at the push of a button. The
Verge. https://www.theverge.com/2019/4/26/18517803/openai-musenet-artificial-intelligence-ai-music-generation-lady-gaga-harry-potter-mozart
The Research Nest. (2020). AI that can generate music. Medium. https://medium.com/the-
research-nest/ai-that-can-generate-music-fddc5813376a
Ulloa, N. (2014, January 17). 91 percent of all artists are completely undiscovered. Digital
Music News. https://www.digitalmusicnews.com/2014/01/17/nbs/