[hts-users:00890] Re: Training by imposing decision trees
Simon King wrote :
Heiga ZEN (Byung Ha CHUN) wrote:
In this case parameters of generated MMF are equal to those of MMF
used to construct decision trees.
So you should re-estimate model parameters
Good point - I hadn't considered the case where the decision tree
being imposed might have been trained on different data, I just
thought about the case where it matched the data - although the case
of differing data is obviously more likely and more interesting.
In our case, that's exactly what we want to do.
To be exact, we simply want to have the same trees for two different
speakers at the end of the two trainings and we thought that training
one speaker and then imposing its tree to the other speaker's training
would be the trivial solution to achieve this.
Now it doesn't seem that simple anymore :-)
We will give it a try with your solutions an keep you informed of the
results,
thank you very much,
Alexis
- References
-
- [hts-users:00876] Training by imposing decision trees, Thomas Drugman
- [hts-users:00877] Re: Training by imposing decision trees, Heiga ZEN (Byung Ha CHUN)
- [hts-users:00884] Re: Training by imposing decision trees, Simon King
- [hts-users:00885] Re: Training by imposing decision trees, Heiga ZEN (Byung Ha CHUN)
- [hts-users:00887] Re: Training by imposing decision trees, Simon King