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Web3 has already disrupted various industries, from finance, gaming to music. This decentralized paradigm has distributed power among users, eliminating the need for intermediaries or centralized authorities. Combining this tech with AI is the most game-changing thing of this era, but we are not discussing its way in finance or others. Today, we will dive into AI and web3 applications and their impact on the future of the music industry, web3 music projects utilizing AI, and AI limitations.
Read More: Use Cases of Blockchain and AI in Crypto
Impact of Web3 and AI on the music industry
An in-life example of AI revolutionizing the music industry is “Heart on My Sleeve”, a song that voices two famous artists, Drake, and the Weeknd, using Artificial Intelligence. The song created by training AI hit over a million views on social platforms before getting taken down by Universal Music Group. This creation raised concerns as well as curiosity among creators, labels, and fans about applications of AI and the future of the music industry.
AI can help artists in the curation, distribution, and production of music through the training of deep learning models. However, this creates a challenge for artists’ intellectual property rights, that is, AI creates deep fake voices which can become a threat to the originality and creativity of music creators. Web3 can help overcome this issue.
If converged with AI, blockchain technology can change the way music is created, consumed, promoted, and shared among fans. Web3 empowers creators by enabling them to take control of their music, creative distribution, direct and deep connection with their audience, and more. Furthermore, by integrating blockchain with AI, creators can open up new avenues for music creation, leverage machine learning algorithms and generative models to experiment with new genres, create innovative soundscapes, etc.
Additional Read: Correlation Between AI, Machine Learning & Web3
Al music tools in web3
Several web3 platforms and musicians have already explored ways to these two disruptive technologies: AI and Web3. Here are a few of the web3 AI music tools:
Music Production: AI-based tools can help music creators in audio processing, mixing, and composing music to achieve high-quality music even without extensive technical experience. This can be for any purpose, be it original music for youtube channels, podcasts, live events, or others.
Ruffusion and Soundful are two such tools that allow users to write text prompts, and it will generate music based on that. Additionally, if you wish to include lyrics or take the music to the next level, you can use other freely available AI chatbots such as ChatGPT, Bing AI, etc.
Virtual Reality Concerts: AI with web3 creates highly engaging and impressive metaverse and virtual concert experiences for audiences. It can generate virtual avatars, personalized experiences for listeners, real-time interaction between artists and fans through bots, and more.
PIXELYNX, a web3 music project, enables users to combine Augmented Reality(AR) with Metaverse gaming to create high-quality experiences for their audiences. It also has an AI-based tool, Korus, that can be used for the creation of music companions through content licensed by artists.
NFTs and Music
Another component of Web3, Non-fungible tokens or NFTs, is changing the way artists monetize their work, engage with fans, sell merchandise, royalty programs, and more. Artists can establish their ownership rights on an album, single, or instrumental by minting it as an NFT on the blockchain. These collectibles can be sold or traded on the marketplace to earn a share. Royalty programs or exclusive events can be organized through NFTs to increase fan engagement as well as to prove ownership.
Here are a few web3 music projects that are offering NFT facilities to creators:
- Royal: the platform allows anyone to trade or invest in music art pieces. Users can earn royalties from the music they own as it streams on other platforms and unlock additional benefits such as merchandise, concert tickets, etc. Some famous artists on the Royal platform are Nas, the Chainsmorkers, and Diplo.
- Relic Tickets: This blockchain technology-based platform provides artists and event organizers with an all-in-one NFT ticket marketing tool, where they can track all participant data and generate profits. Users can purchase NFT tickets to music concerts of their favorite artists from an easy-to-use platform.
- Revelator: Digital IP infrastructure provider enabling music creators to manage their music, its distribution, and analytics through various tools available on the platform.
Limitations
- One of the major drawbacks of AI in music is it might lack in creating the impression and emotional touch a human-created song has on the audience.
- AI works through existing data patterns and styles, it might not be able to innovate new music, which can limit an artist’s creativity.
- Technological advancement is another hindrance to the usability of web3 and AI. As music creators, labels, and fans might find it hard to navigate through these platforms.
- Legal and regulatory frameworks are needed to protect the creator’s right over generated music art and its distribution.
Conclusion
AI and Web3 together can revolutionize the music realm, helping artists own their songs and albums in a decentralized manner or let fans participate in virtual music events. There are multiple use cases to emerge, you as an investor can take advantage of this by staying updated on community news and investing in web3 projects and blockchain technologies working on their way to change the music industry.
FAQs
Yes, AI models can be trained on data from various artists and instruments to create deep fake voices or instrumental music. AI deep learning models are fed with data and styles of music composition to generate voice and music. Some platforms even have text-based prompts enabled to create music through it.Can artificial intelligence create music?
How is AI used in music production?
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