Google announced MusicLM, artificial intelligence that creates music out of the words you type, like DALL-E 2. It is a language model created by Google Research. Besides, they have exclusively designed it for music creation.
And, it has been trained on a vast dataset of music files and can produce music in a range of styles and forms. If you are interested in music; then you should check what MusicLM will offer.
With MusicLM you produce music in some techniques and forms. For example, you can create piano pieces, drums beats, and melodies for lyrics.
Also, you can fine-tune to certain styles or include user-provided input. It is meant to produce music that is harmonically and rhythmically cohesive. So, let’s dive in and see what MusicLM is all about.
MusicLM is not the first AI-generated music system. Riffusion, Dance Diffusion, Google’s AudioML, and OpenAI’s Jukebox are examples of comparable approaches. However, these prior systems got constrained by technological restrictions.
Also, their lack of training data made it difficult to compose high-quality tunes. However, MusicLM has the capacity to create music with a greater level of sophistication and realism.
MusicLM learns the structure and style of music. Hence, it gets trained on a vast dataset of MIDI and symbolic music files. Like its similar programs, MusicLM is built on Transformer architecture.
Utilizing self-attention techniques to concentrate on particular input components, MusicLM’s transformer architecture is used to extract the structure and style of music from a big dataset. As a result, you can create harmonically and rhythmically cohesive music.
And, this music can mimic the organization of the user input. Hence, you will be able to get the musical outcome that you specifically describe to the program.
The success of previous language models, such as GPT-2 and GPT-3, which have proved their capacity to create coherent and fluent writing, inspired MusicLM. MusicLM, on the other hand, is the first language model that was exclusively built for the music generation.
And, we think it will be regarded as one of the most sophisticated models.
How Does It Work?
DALL-E 2 and Google’s MusicLM artificial intelligence share a lot of structural similarities. This time, though, your writing is conveyed musically rather than visually. At this point, you can either completely construct a whole piece. Also, you can generate rhythm using just one instrument.
You may view several sample studies created by the Google AI team on MusicLM’s Github page. Even though the AI is still in the research and development stage, the sounds it can make are high resolution. Also, there have been suggestions, such as integrating this AI with ChatGPT. This integration could lead to more intricate and creative music.
From Humming to Hit Melodies
MusicLM combines four distinct AI models: MuLan, AudioLM, w2v-BERT, and Soundstream. Although each of these models has a set of distinctive capabilities. However, when they got integrated, they resulted in MusicLM!
Musicians and industry professionals have taken notice of MusicLM’s capacity to transform even the most basic hums and murmurs into whole tunes. By combining with ChatGPT, it can produce unique music.
You can listen to and explore the music and sounds created by MusicLM on its website. But, keep in mind that it is currently in the testing phase. It is obvious that MusicLM has the ability to completely transform the music business as technology develops.
AI-Generated Music with Human-Like Nuances
To produce songs that make sense based on thorough descriptions, MusicLM was trained on a large dataset of 280,000 hours of music. For example, you can create “a melodic dubstep tune with a deep bass and sophisticated drum rhythms”. Or, you could ask for it to create “an enticing pop song with a captivating guitar riff and a forceful vocalist.” Your imagination is the limit in this case.
The produced songs resemble those composed by human musicians. MusicLM’s samples are extremely astounding. It is true especially given there is no human involved in the composition process. MusicLM can repeat nuanced aspects such as musical riffs, melodies, and emotions. Besides, it works even when given complicated and explicit specifications.
Painting Caption Conditioning
Painting Caption Conditioning is a MusicLM function. You can produce music based on a textual description or “caption” of a painting. This implies that MusicLM is capable of creating music that captures the emotions, moods, and ideas expressed in a picture. This capability is very helpful for making music for movies, video games, and all kinds of visual media.
Story Mode feature takes a story text as input. Hence, it creates accompanying background music. Users can utilize this function to build a soundtrack for a tale, video game, or movie by depicting the scenario or emotional tone.
Story Mode is a handy tool for media artists. Thus, it can generate a broad range of musical styles and instruments. MusicLM’s Tale Mode gets to increase the emotional impact of a scene. So, viewers can have an additional degree of immersion in the story.
Musician Experience Level
You can customize the difficulty of created music. Users can choose between three levels based on their skill level. Also, they can specify the preferred degree of complexity: beginner, intermediate, or advanced.
This feature helps you if you have a little musical expertise and want to experiment with new compositions. However, if you are an experienced musician, you can create sophisticated and subtle music. MusicLM’s goal with this feature is to deliver an accessible experience for all users.
With the Generation Diversity function, you can produce many versions of a song from the same input. And, you can have a varied range of outputs. This implies that the AI may generate multiple versions of a song.
Besides, there are alternate melodies or chord progressions, while still keeping the song’s basic style and structure. This feature helps the AI’s music creation to be more creative. Hence, it makes music creation more analogous to human songwriting.
Possible Limitations of MusicLM
Google has not yet made MusicLM available to the general public as it is still in development. Hence, you can’t yet give particular samples of the kinds of music that MusicLM can produce. Furthermore, it is still a bit unknown what restrictions MusicLM could have.
As the technology is still in its early stages, it could have certain restrictions on the caliber of the music that is produced or it’s capacity to handle particular inputs.
The produced samples’ distorted quality is one of the key drawbacks. This is a necessary byproduct of the training procedure used to develop MusicLM.
Another drawback is that, despite MusicLM’s technical ability to manufacture vocals. This includes choir songs. The “lyrics” produced by MusicLM sometimes seem like gibberish. Besides, they can be hard to comprehend. However, MusicLM is still in development and these issues can be improved.
Finally, we believe that the technology underlying Google MusicLM is both interesting and fascinating. It is astonishing that an AI can make music in a variety of styles, with a higher level of realism. MusicLM has the potential to change the music business. And, we are excited to watch how this technology evolves.