Comments (7)
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.
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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?
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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.
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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 [email protected] 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.
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Share an archive on dropbox. Thanks
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I fixed map_adapt in trunk, now it should work
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Thanks! I'll try it.
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Related Issues (20)
- problem in new acoustic model HOT 1
- sphinx3_align not available HOT 7
- Want to set mfc file location in "bw" on commandline HOT 2
- compilation crashes because of slave_feat.pl HOT 3
- Sphinxtrain make failed on virtualbox and ubuntu : Error in making libclust HOT 1
- lexicon.c:202:12: error: implicit declaration of function 'str2words' is invalid
- macOS compilation error: lexicon.c:202:12: error: implicit declaration of function 'str2words' is invalid in C99 HOT 2
- Restarting PTM training in stage 20 fails
- SphinxTrain::Util::TiedWaitForConvergence() is broken in many ways
- -remove_noise not included in feat.params
- Split jobs according to time rather than number of utterances
- Add slurm support
- training is not properly restartable HOT 2
- scripts have sketchy names
- semi/ptm training is excessively, probably unnecessarily slow
- Step "Creating a transformation with MLLR", log out so many "INFO: mllr.c(186): Estimation of 0 th regression in MLLR failed".
- error when executing the autogen in ubuntu HOT 3
- `Acoustic model adaptation` tutorial seemingly has not been updated yet
- How to install it on Windows 10 ?
- scripts/decode/word_align.py is not python3-ready
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