AI might soon become an invaluable tool in musicians’ compositional arsenals, if recent developments are any indication. In July, Montreal-based startup Landr $26 million for a product that analyzes musical styles to create bespoke sets of audio processors, while OpenAI and Google earlier this year debuted online creation tools that tap music-generating algorithms.

Inspired by this and other recent work, researchers at Sony a machine learning model for conditional kick-drum track generation. Given an existing song and low-dimensional code that encodes the relationship between said song and to-be-generated new material, the creates a variety of “musically plausible” drum patterns from one song to another irrespective of differences in tempo and time-shift (i.e., changing speed or duration).

“We propose a model architecture … that encodes rhythmic

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