Closed gitfoxi closed 9 years ago
Thank you for the report. Unfortunately that would not be a trivial problem to fix, it will take a week or so.
Please use MLLR adaptation for PTM models.
Okay. Just wanted to let you know.
How can i tell if i'm using a PTM model? Have the one that came with Sirius.
I also tried the MLLR adaptation from the tutorial. My accuracy went down by a few percent. Do people usually get better results from the tutorial?
How can i tell if i'm using a PTM model? Have the one that came with Sirius.
It has a line -model ptm
in feat.params. Our latest models are PTM
I also tried the MLLR adaptation from the tutorial. My accuracy went down by a few percent. Do people usually get better results from the tutorial?
Yes, you should not expect a lot from MLLR and actually from MAP too. There are many factors which affect accuracy and acoustic model is just one of them. There are things like language model which also should fit, the dictionary and so on.
For accuracy debugging it is recommended to share test set of the audios you want to recognize.
How can I share my test set? I just recorded the phrases that were recommended in the tutorial.
Thanks
On Mar 18, 2015, at 5:03 PM, Nickolay V. Shmyrev notifications@github.com wrote:
How can i tell if i'm using a PTM model? Have the one that came with Sirius.
It has a line -model ptm in feat.params. Our latest models are PTM
I also tried the MLLR adaptation from the tutorial. My accuracy went down by a few percent. Do people usually get better results from the tutorial?
Yes, you should not expect a lot from MLLR and actually from MAP too. There are many factors which affect accuracy and acoustic model is just one of them. There are things like language model which also should fit, the dictionary and so on.
For accuracy debugging it is recommended to share test set of the audios you want to recognize.
— Reply to this email directly or view it on GitHub.
Share an archive on dropbox. Thanks
I fixed map_adapt in trunk, now it should work
Thanks! I'll try it.
Doing the adaptation tutorial: http://cmusphinx.sourceforge.net/wiki/tutorialadapt?s[]=adaptation
Finally get near the payoff, something like:
segfaults
Backtrace:
Code:
Guessing
-fixedtau yes
may avoid segfault and it does. But I get no improvement in accuracy. (Don't know if I would have otherwise.)