Meta unveils text-to-music AI tools to rival Google’s.

Meta unveils text-to-music AI tools to rival Google's.

Artificial Intelligence Takes the Music Industry by Storm

AI Music

Artificial intelligence has revolutionized various industries, and now it’s making waves in the music industry. With AI, viral songs are being created, the voices of beloved singers from the past are being resurrected, and AI-generated music even has the potential to qualify for a Grammy. Meta, a leading tech company, has recently released new AI tools that will make it even easier to generate music using AI.

Meta Introduces AudioCraft: AI’s Contribution to the World of Music

On Tuesday, Meta unveiled AudioCraft, a suite of generative AI models that can create “high-quality and realistic” music from text. This innovative tool opens up endless possibilities for musicians, producers, and enthusiasts to explore and create music effortlessly using AI technology.

AudioCraft comprises three generative AI models developed by Meta: MusicGen, AudioGen, and EnCodec. MusicGen and AudioGen are both capable of generating sound based on text prompts. While MusicGen focuses on creating original music, AudioGen specializes in generating specific audio and sound effects.

MusicGen: A Gateway to Music from any Era

To demonstrate the capabilities of MusicGen, Meta provides a demo on HuggingFace, where users can explore the potential of this AI model. By describing any kind of music they desire, users can bring their imagined sounds to life. For example, Meta suggests a prompt such as “An 80s driving pop song with heavy drums and synth pads in the background.” MusicGen will then generate a composition that matches the description.

EnCodec: Enhancing Audio Quality

EnCodec is an audio codec built using neural networks. It compresses audio and reconstructs the input signal, resulting in higher-quality music generation with fewer artifacts. Meta has released the most improved version of EnCodec, advancing the possibilities for creating music through AI-generated audio.

AudioGen: Access to Environmental Sounds and Sound Effects

Meta has also made available its pre-trained AudioGen models, offering users the ability to generate environmental sounds and sound effects, such as a dog barking or a floor creaking. This inclusion expands the range of creative possibilities for musicians and content creators.

Open Source Models for Research and Development

Furthermore, Meta has generously shared the weights and code for all three models as open-source resources. This gesture enables researchers and practitioners to leverage the models for training new AI models or creating innovative applications in the music industry.

AI as the New Instrument of Choice

Meta believes that AudioCraft has the potential to become a new type of standard instrument, much like synthesizers when they first appeared. With additional controls and further advancements, MusicGen could transform into a powerful tool for musicians, revolutionizing the way they create and express themselves.

AI and Music: A Growing Trend

While Meta’s AudioCraft is a remarkable development, it is not the only player in this field. Google released its own generative AI model called MusicLM earlier this year, which can also transform text into music. Additionally, recent research shows that Google is using AI to reconstruct music from human brain activity. The intersection of AI and music continues to grow, fueling the imagination of musicians and pushing the boundaries of creativity.

Artificial intelligence has ignited a revolution in the music industry. With Meta’s AudioCraft and other AI models like MusicLM, the possibilities for creating unique and captivating music are expanding exponentially. Musicians and music enthusiasts can now leverage AI technology to bring their creative visions to life. As AI continues to evolve, we can only imagine what innovative and mesmerizing sounds the future holds.