Generate Your Own Music With Meta’s MusicGen AI

K.C. Sabreena Basheer Last Updated : 19 Jun, 2023
4 min read

Generative AI tools have already transformed the way we create text and visual content, flooding the web with innovative creations. But what about music? The possibilities of AI-generated music are becoming a reality, as demonstrated by a recent viral track that was entirely AI-created. Now, Meta, a leading tech company, is taking music generation to the next level with its  generative AI model called ‘MusicGen.’ Let’s delve into this exciting development and explore the potential implications for musicians, marketers, and the future of the music industry.

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Meta is taking music generation to the next level with its generative AI model MusicGen.

Generative AI Expands to the Realm of Music

The focus of generative AI is shifting towards creating audio and music through AI systems. This expansion can potentially disrupt the music industry, with recent examples showcasing fully AI-created tracks that have gone viral. However, the industry itself has expressed strong opposition to this trend, setting the stage for a potential clash between traditional music creation and AI-generated music.

Learn More: Join us for an extraordinary learning experience and unlock the boundless world of Generative AI with Diffusion Models at our upcoming workshop at the DataHack Summit 2023.

From Viral Tracks to Technology: The Rise of AI in Music

The emergence of viral tracks created entirely by AI signals a paradigm shift in the music industry. Artists like Drake and The Weeknd have witnessed the power of AI in music creation, even without their direct involvement. This development highlights the potential disruptions AI could bring to the music landscape. While the music industry may resist this change, the impact of AI on music creation cannot be ignored.

Also Read: AI-Generated Song Goes Viral

Introducing MusicGen: Meta’s Innovative Generative AI Model

Meta, a leading tech company, has unveiled ‘MusicGen,’ its generative AI model designed to facilitate the creation of all-new music. MusicGen utilizes text or melody prompts to generate unique tracks based on a vast database of samples and instrument styles. By providing the AI model with information about the desired track or even humming a tune, MusicGen can produce a range of audio outputs, opening up new possibilities for musicians, marketers, and other creative individuals.

Meta is revolutionizing the music industry with its generative AI model MusicGen which converts your text or melody prompts into music!

Unleashing the Power of Text and Melody Prompts

MusicGen’s innovative approach allows users to input text or melody prompts, unleashing the AI’s creative potential. With its extensive training on 20,000 hours of music, encompassing complete tracks and individual instrument samples, MusicGen offers a wide range of inputs for AI-generated creations. This interactive and intuitive process enables users to explore new avenues of music creation and opens doors to unprecedented levels of originality.

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A Deep Dive into MusicGen’s Training and Capabilities

MusicGen’s capabilities result from its comprehensive training in a vast music database. With access to 20,000 hours of music, the AI model has learned from various songs and instrument samples. This training empowers MusicGen to generate unique and original compositions, setting it apart from simple replication tools. The potential for innovative and dynamic music options across various genres is immense, promising a transformative impact on the creative landscape.

Meta's MusicGen AI is trained on over 20,000 hours of music.

The emergence of AI-generated music raises legal challenges, especially concerning copyright infringement. The music industry, known for its proactive stance on protecting intellectual property, will likely combat unlicensed usage of AI-generated content. Future regulations may be implemented to restrict the operation of systems like MusicGen. However, the nature of MusicGen’s sampling makes it difficult to control legally. Consequently, AI-generated songs may inevitably find their way into the mainstream, blurring the line between human and AI creativity.

Also Read: EU Calls for Measures to Identify Deepfakes and AI Content

The Inevitable Arrival of AI-Generated Hits

Sooner or later, AI-generated songs will dominate the music charts, potentially without the audience even realizing it. While this may raise questions about the future of music creation, the usage potential of tools like MusicGen extends far beyond replication. By fostering new avenues for music exploration, AI-generated music promises a fresh and diverse landscape of creative possibilities in various forms and genres.

Get ready to listen to a playlist of fully AI-generated music with Meta's MusicGen model.

A New Era of Music Creation and Exploration

Regardless of personal preferences or industry opinions, the future of music creation is evolving rapidly with the advent of AI-generated music. As tools like MusicGen become more accessible, they will enable people from all walks of life to create music for various purposes. This shift marks an exciting era of exploration and innovation, empowering individuals to express their creativity in unimaginable ways.

Also Read: Amazon Introduces Groundbreaking AI Tools to Revolutionize Generative AI and Software Development

Our Say

Meta’s MusicGen represents a monumental leap in the realm of music creation. It is unique in harnessing the power of AI to generate unique compositions based on text and melody prompts. While legal challenges may arise, the inevitable rise of AI-generated hits demonstrates the transformative potential of AI in the music industry. As we embrace this new frontier, musicians, marketers, and creatives of all kinds can explore uncharted territories and reshape the future of music.

Sabreena Basheer is an architect-turned-writer who's passioante about documenting anything that interests her. She's currently exploring the world of AI and Data Science as a Content Manager at Analytics Vidhya.

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