HI @lissyx,
this comments may look like the repeated one to the ones discussed earlier, forgive me for that.
But here are my observation-
- Newly trained language and acoustic model is working good the the data i trained.
- But when i recorded audio files for few sentences (10 sentences) and created i whole new language and acoustic model , it not giving good accuracy .(very poor accuracy).
i know there is bit of back-ground noise , but we were expecting to work on training files , and as it was new training so it was not using any previous files/checkout.
I tried changing following hyper-parameters -
test batch size- 1/2/3
dev batch size- 1/2/3
train batch size- 1/2/3
learning rate - 0.001/0.0001/0.0001/0.00001
wanted to check is , if need to really clean audio files to have literally zero background noise or there can be some training parameters that i need to play with to get it right?
Any suggestions please