Audio Match Cutting: Finding and Creating Matching Audio Transitions in
  Movies and Videos
Authors: name: Dennis Fedorishin, name: Lie Lu, name: Srirangaraj Setlur, name: Venu Govindaraju

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, certain match cuts involve the fluid transition of
audio, where sounds from different sources merge into one indistinguishable
transition between two shots. In this paper, we explore the ability to
automatically find and create "audio match cuts" within videos and movies. We
create a self-supervised audio representation for audio match cutting and
develop a coarse-to-fine audio match pipeline that recommends matching shots
and creates the blended audio. We further annotate a dataset for the proposed
audio match cut task and compare the ability of multiple audio representations
to find audio match cut candidates. Finally, we evaluate multiple methods to
blend two matching audio candidates with the goal of creating a smooth
transition. Project page and examples are available at:
https://denfed.github.io/audiomatchcut/