I’m working currently on the custom deepspeech model for german language in the specific domain.
I was wondering what can I do in order to improve the model, beside finetuning the model with custom domain-specific and augmented data, as well as beside creating a domain specific language model.
Is it adding more data? I prepare 86 hours of data for finetuning.
Some relevant parameters? (I was tuning alpha and beta untill now)
Improving lexicon? Do I have any other possibilities?
Also I was wondering if there are any best practises when it comes to testing the stt model ? Untill now i was implementing unit tests for this.
Thanks in advance!