Bands & artists like Oval
If you like Oval, these artists play in similar sounds, ideas, or styles. Use this as a starting point to branch out and find something new to listen to.
New to Oval? Start with our listening guide.
Artists to try next
Fennesz
GuideFennesz blends guitar textures with electronic manipulation, creating immersive soundscapes that resonate with Oval's layered approach.
Ryuichi Sakamoto
GuideSakamoto's ambient compositions often utilize subtle shifts in tone and texture, paralleling Oval's contemplative sound fabric.
Alva Noto
GuideWith a focus on minimalism and intricate sonic details, Alva Noto's work aligns closely with the dense yet delicate layers found in Oval's music.
Brian Eno
GuideAs a pioneer of ambient music, Eno's atmospheric compositions often feature evolving textures that resonate with Oval's style.
Tim Hecker
GuideHecker’s use of noise and dynamic shifts creates an immersive auditory experience akin to the complex layering found in Oval's works.
Murcof
Murcof combines classical elements with electronic music, crafting rich soundscapes that echo Oval's intricate textural focus.
Loscil
GuideLoscil's ambient compositions are characterized by lush textures and subtle rhythmic patterns, making them a fitting companion to Oval's sound.
Aphex Twin
GuideAphex Twin’s ambient works often explore similar sonic territories as Oval, with an emphasis on texture and atmosphere.
Common questions
Who sounds like Oval?
Artists similar to Oval include Fennesz, Ryuichi Sakamoto, Alva Noto and Brian Eno. Each shares elements of Oval's sound while bringing their own perspective.
What genre is Oval?
Oval is primarily known for ambient. Oval's music thrives in subtle shifts and layered textures, creating a dense fabric of sound that invites prolonged contemplation.
Where should I start if I like Oval?
If you enjoy Oval, start with Fennesz — their album "Edition 1" is a great entry point. Fennesz blends guitar textures with electronic manipulation, creating immersive soundscapes that resonate with Oval's layered approach.