Romain Perrot (born 1973), better known by his stage name Vomir ('vomit' or 'regurgitate'), is a French noise music artist based in Paris. Since beginning his career in 1996, Vomir has appeared in over 300 releases, including singles, albums and collaborations with other noise artists. The majority of his albums were produced by his own independent label, Decimation Sociale. Vomir positions his approach to music as an "anti-" approach, with a radical and nihilist stance. He spearheads the harsh noise wall movement, an extreme subgenre of noise music which he describes as "no ideas, no change,
AKA Vomir <a href="https://www.last.fm/music/Romain+Perrot">Read more on Last.fm</a>
5 total works indexed
· 2019 · cited 19,342x
· 2004 · cited 17,788x
· 2018 · cited 4,871x
· 2018 · cited 4,542x
· 2012 · cited 4,389x
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Romain Perrot (born 1973), better known by his stage name Vomir ('vomit' or 'regurgitate'), is a French noise music artist based in Paris. Since beginning his career in 1996, Vomir has appeared in over 300 releases, including singles, albums and collaborations with other noise artists. The majority of his albums were produced by his own independent label, Decimation Sociale. Vomir positions his approach to music as an "anti-" approach, with a radical and nihilist stance. He spearheads the harsh noise wall movement, an extreme subgenre of noise music which he describes as "no ideas, no change, no development, no entertainment, no remorse".
At a young age Perrot was heavily influenced by Pink Floyd and taught himself how to perform music in his childhood. In the 1990s, he moved closer to the experimental scene by frequenting artists Bimbo Tower, U-Bahn and Instants Chavirés, but it was through the discovery of Japanoise from Merzbow and Keiji Haino that he was introduced to the free improvisation and harsh noise genres. He became fond of The Rita and his self-titled genre "militant walls", which led him to term the genre harsh noise wall, which he began to produce under the stage name Vomir in 2006.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).