![]() ![]() There’s good potential in this sound though. Sounding like a neuro dnb mixture of Hip-Hop and traditional Chinese music as played by Wu Man, this one minute skit does enough to create something unique but not enough to make a full song. Not incredibly astounding but a refreshing amount of focus on the melodic work than necessarily just having heavy basslines. The first week’s untitled submission from the unknown producer who has been active every week of this challenge gives as much away with its title as does Kendrick’s new album, but the song itself is characteristic of the type of sound this producer is trying to achieve with most of his submissions so far a blend of foleyful future bass, neuro basses, Haywyre-esque leads, interesting chord progressions, and what have yous. Taking Frank Zappa’s interview about the decline of the Music Industry and his comments about how cigar-chomping old guys ran the labels that refused to put experimental music out, and putting it on this straight yet faded neuro score, Canopy makes more of a statement with this track as he does make an actual song never-the-less, it’s simple, straight to the point and endearing. In a rough order of increasing dankness, here are the most impressive OWOT2016 tunes as reported by Baxtak: 15. ![]() This year, the neurohop tag has been loosely traded for anything vaguely neuro (neuro dnb, neuro future bass, neurostep, neurofunk, and other neuro experiments like neuro folk (?!?)) and some of these tunes really bring the heat. There has been around 100 submissions so far on the OWOT2016 Soundcloud group, and it was imperative to me that there will be some blog-worthy tracks amongst them and I decided to do a run-down on some of my favourites so far. For the past three years, members of the neurohop community have been running ‘One Week One Track’ a challenge for up-and-coming or veteran musicians to create a song in a week and a chance for them to impress themselves, the community, battle writer’s blocks, or purely for the fun of it. ![]()
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