14 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Dolby (United States)US2 papers
- Adobe Systems (United States)US1 paper
- California Southern UniversityUS1 paper
- Columbia UniversityUS1 paper
- Dolby (Sweden)SE1 paper
- Georgia Institute of TechnologyUS1 paper
- Mitchell InstituteUS1 paper
- Texas A&M UniversityUS1 paper
- The London CollegeGB1 paper
- The University of Texas at DallasUS1 paper
- Universitat Pompeu FabraES1 paper
- University at Buffalo, State University of New YorkUS1 paper
4 papers · 1 filter
Diff-SAGe: End-to-End Spatial Audio Generation Using Diffusion Models
Saksham Singh Kushwaha, Jianbo Ma, Mark R. P. Thomas +2
Spatial audio is a crucial component in creating immersive experiences. Traditional simulation-based approaches to generate spatial audio rely on expertise, have limited scalabilit…
Audio Match Cutting: Finding and Creating Matching Audio Transitions in Movies and Videos
Dennis Fedorishin, Lie Lu, Srirangaraj Setlur +1
A "match cut" is a common video editing technique where a pair of shots that have a similar composition transition fluidly from one to another. Although match cuts are often visual…
Multichannel-based learning for audio object extraction
Daniel Arteaga, Jordi Pons
The current paradigm for creating and deploying immersive audio content is based on audio objects, which are composed of an audio track and position metadata. While rendering an ob…
Less is more: Faster and better music version identification with embedding distillation
Furkan Yesiler, Joan Serrà, Emilia Gómez
Version identification systems aim to detect different renditions of the same underlying musical composition (loosely called cover songs). By learning to encode entire recordings i…