Hi,
I was working with deep speech2 to convert speech to text. Data I used is Indian English.
But the Accuracy is not at all good as it doesn’t pick the word right, although is sound or looks somewhat same.
My question is say I have enough data (Indian English ) and I want to train it
will I require to make any other changes in the code or something like vocab file, language model. Or it’ll give me proper or good result with just training.
And when you said you have done some fine tuning …
does it mean just adding the new data set on top the already pre trained model or something else also ?
my datasets only a particular purpose only recorded audio. that is not covered all. this is one disadvantage for us. if you want more data, you tried to record different kind of speaker and do data augmentation sir.
i have a code for data augmentation UI. it is very easy to handle augmentation process.
if you want data please do this. it will help to you lot.
hey buddy … i was wondering if you could share your pre trained model …
as it requires alot of hardware … and it ll take time…
i just wanted to see how it 'll work …
if it is okay with you .
@bhadwal.abhishek hello sir how to train our dataset can you please help me?
I am fresher I want to learn how to retrain the deep speech model for Indian accent? @lissyx when I am doing that I was facing an error which is key_layer/_1 bais not found in checkpoint 0.4.1 I am continuing the training from release model
lissyx
((slow to reply) [NOT PROVIDING SUPPORT])
20
Please continue training using the proper git branch v0.4.1 and not master