  The problem of transitioning smoothly from one audio clip to another arises
in many music consumption scenarios, especially as music consumption has moved
from professionally curated and live-streamed radios to personal playback
devices and services. we present the first steps toward a new method of
automatically transitioning from one audio clip to another by discretizing the
frequency spectrum into bins and then finding transition times for each bin. We
phrase the problem as one of graph flow optimization; specifically
min-cut/max-flow.

Sound;Machine Learning;Audio and Speech Processing