HTS-2.1beta:
[...]
- Random generation of state transitions, state durations, and
mixture components.
What does this random generation refer to? Initialization
of the models, or some alternative parameter generation logic?
Is that described in a particular article?
Probably, there is no particular articles, I guess.
Random generation[sampling] of Gaussian distributions for
Trajectory HMM (see chapter 5)
http://www.sp.nitech.ac.jp/~zen/english/index.php?
plugin=attach&refer=Publications%2FInternational%
20conferences&openfile=tokuda-beyondHMM.pdf
has already supported in the previous version 2.0.
This extension newly supports random sampling of state transitions,
state durations, and/or
mixture components in the parameter generation algorithm using the
Trajectory HMMs.
This function would be good when you want to randomly change
synthesized trajectory or
duration for the synthesized trajectory somewhat every time.
Please imagine human-motion synthesis. If the generated motion
trajectory is
always completely the same, people would think it is unnatural.
The above function can add some random effect to the generated
trajectory.