Comments (2)
Mte90
commented on August 23, 2024
At the end we did it this or not?
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nefastosaturo
commented on August 23, 2024
Right now, the latest release, has been trained with just the first step of 1st pipeline. So, for sure we need to do the lm_optimizer step to find the best ALPHA and BETA values as described here: https://discourse.mozilla.org/t/custom-lm-causes-terrible-false-positive-rate/50166/34
However, at the end, the best pipeline will be the one that will score the lowest WER, so I think the only way is to try both of them.
Just opened this issue to see if someone could give some hints
from deepspeech-italian-model.
Related Issues (20)
- MITADS - Transcript roman numbers HOT 4
- Readme improvements
- Not clear how to do a simple speech recognition HOT 9
- deepspeech - lm.binary and trie: how to? HOT 4
- Create the "contributing" file HOT 1
- Experiment on creating a new dataset audio+text HOT 3
- Voxforge bad samples, help for cleaning up HOT 3
- MITADS - convert numbers to their literal expression HOT 2
- LIST OF AUDIO+TEXT DATASETS HOT 10
- Really bad results on Raspberry Pi 4 HOT 1
- Other italian models for transfer learning HOT 4
- MITADS - new corpora to import HOT 3
- MLS and MAILABS: considerations and issues ( Have you seen my apostrophe?) HOT 9
- Building a custom external scorer (extending the Italian text corpus) HOT 4
- ERROR: Model provided has model identifier 'K�+�', should be 'TFL3' HOT 5
- Project license HOT 3
- Migrate to Coqui
- Docker build fail HOT 2
- Documentation about how to run the various bash script alone
- DOCKERFILE Merge flag TRANSFER_LEARNING and DROP_SOURCE_LAYER HOT 2
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