In particular, leveraging an AI model and a database with 280,000 hours of music, MusicLM can craft profoundly deep and remarkably diverse musical compositions. While not the first AI music composer, MusicLM boasts numerous superior features compared to previous projects such as Google's AudioML and OpenAI's Jukebox.
Google's AI can generate music across all genres based on textual descriptions
This Google AI goes beyond combining genres and instruments; it crafts music based on abstract concepts that computers often struggle to comprehend. By selecting a music genre and inputting keywords like 'space,' 'alternate worlds,' and 'awe and fear,' MusicLM can generate a composition embodying these characteristics and aligning with the given theme.
This AI technology can even generate melodies based on background noise, the sound of a flute, or simply a description of a painting. Moreover, the storytelling mode can interconnect multiple text descriptions to create a DJ set or a complete film score.
However, like many other AI systems, some of MusicLM's creations might be peculiar, and the lyrics can be a bit cryptic. Additionally, the structure of the music produced by MusicLM may exhibit repetitions, differing from the typical EDM drops or verse-chorus-verse structures.
Furthermore, the issue of music copyright poses a challenge for researchers in releasing MusicLM to the public. About 1% of the music produced by this Google AI is identified as copied from existing songs in the dataset. Therefore, if users wish to release these compositions, they must seek permission from the original artists to avoid copyright infringement in music.
Similar to its impact in the realm of painting, AI is carving out a niche in the world of music. Artists like Holly Herndon and Arca have leveraged algorithmic technology to produce albums and film scores that find a place in art galleries. According to Mytour's predictions, MusicLM could play a significant role in the future of music.
