The question of the day: can a computer learn to sound metal?

Thanks to HellBlazer of, who provided a dataset of over 100,000 bands, subgenres, and countries of origin, I had an opportunity to find out.

I gave the dataset to an open-source neural network framework that I’ve previously trained to generate recipes, Pokemon, knock-knock jokes, pick up lines, and D&D spells. As usual the instructions were only to learn what the dataset is like and try to make more of the same. With over 100,000 entries to chew on, the neural network managed to produce results that were… well, surprisingly metal.

I give you: Band names, so far untaken, generated by neural network

Dragonred of Blood - Death Metal - Indonesia
Deathhouse - Melodic Death Metal - Brazil
Vultrum - Folk/Black Metal - Germany
Stäggabash - Black Metal - Canada
Deathcrack - Death Metal - Mexico
Stormgarden - Black Metal - Germany
Vermit - Thrash Metal/Crossover,/Deathcore - United States
Swiil - Progressive Metal/Shred - United States
Inbumblious - Doom/Gothic Metal - Germany
Inhuman Sand - Melodic Death Metal - Russia
ChaosWorge le Plague - Doom Metal - Brazil
Inhum the Thorg - Black Metal - Slovenia
Chaosrug - Black Metal - Mexico
Jazzy - Heavy Metal - United States
Sux - Heavy Metal/Hard Rock - Chile
Dragonsulla and Steelgosh - Heavy Metal - Tuera
Verking of the Beats - Thrash Metal/Crossover Thrashcore - Netherlands
Squeen - Doom Metal - Colombia
Death from the Trend - Black Metal - Croatia
Shuck - Death Metal - Israel
Dragorhast - Heavy Metal/Hard Rock - Germany
Verb - Black Metal - Norway
Black Clonic Sky - Black Metal - Greece
Snapersten - Folk/Melodic Black Metal - Italy
Verk - Melodic Death Metal - Sweden
Snee - Thrash/Death Metal - Brazil
Vomberdean - Melodic Black Metal - United States
Suffer the Blue - Death/Thrash Metal - Germany
Sespessstion Sanicilevus - Melodic Death Metal - United States
Sköpprag - Black Metal - Norway
Sht - Symphonic/Heavy Metal - United States
Sun Damage Omen - Symphonic Progressive Metal - France
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