Google is working on developing MusicLM, an Artificial Intelligence (AI) model generating
high-fidelity music from text descriptions such as "a calming violin melody backed by
a distorted guitar riff". MusicLM casts the process of conditional music generation as a
hierarchical sequence-to-sequence modeling task, and it generates music at 24 kHz that remains
consistent over several minutes.
Google says their experiments show that MusicLM outperforms
previous systems both in audio quality and adherence to the text description. Moreover,
they demonstrate that MusicLM can be conditioned on both text and a melody
in that it can transform whistled and hummed melodies according to the style
described in a text caption. To support future research, they publicly release MusicCaps,
a dataset composed of 5.5k music-text pairs, with rich text descriptions provided by human experts.
The tool is not available for public use, and it's only used internally by Google.