Algorithmic Noise
Algorithmic Noise is a computational method that generates or manipulates noise-based audio artifacts through procedural rules or mathematical processes, distinguishing itself from other noise generation techniques by its reliance on algorithmically defined structures rather than analog sources or random signal input.
29
Publications
1.5K
Citations
62
Authors
35
Institutions
Publications per year
2017–2026
4
Parents
29
1–5 of 29
62
University of Illinois Urbana-Champaign, United States
15 publications · 1.2K citations
13
h-index
3
h-index
University of Illinois Urbana-Champaign, United States
3 publications · 138 citations
3
h-index
2
h-index
2
h-index
1–5 of 62
35
University of Illinois Urbana-Champaign
Urbana, United States
15 h-index
32 publications
2.2K citations

Urbana University
Urbana, United States
2 h-index
2 publications
483 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
2 publications
66 citations
North Dakota State University
Fargo, United States
1 h-index
2 publications
46 citations
Seoul National University
Seoul, South Korea
1 h-index
1 publications
28 citations
University of Illinois System
Urbana, United States
1 h-index
1 publications
275 citations

University of Notre Dame
Notre Dame, United States
1 h-index
2 publications
86 citations
STMicroelectronics (India)
Greater Noida, India
1 h-index
3 publications
63 citations
1–8 of 35
4 publications · 562 citations
4
h-index
4 publications · 160 citations
4
h-index
1 publications · 23 citations
1
h-index
1 publications · 23 citations
1
h-index
1 publications · 21 citations
1
h-index
1–5