Training own scorer for deepspeech 0 7 4

[JRMeyer]

>>> ed15v
[December 8, 2020, 6:58pm]

Hi there,

I've came across of a pre-trained model for Deepspeech 0.7.4 and wanted
to adjust it to my use. I use it with a speech assistant so I created a
list of all words that are recognized by the assistant and called it
alphabet.txt.

In the guide it says something about generating a KenLM model. Do I have
to create my own one and if yes what kind of input does it need? Or
should I rather stick to the given one and only create the scorer with
my alphabet.txt?

Thank you in advance

[This is an archived TTS discussion thread from discourse.mozilla.org/t/training-own-scorer-for-deepspeech-0-7-4]

[JRMeyer]

>>> lissyx
[December 8, 2020, 7:00pm]

> Do I have to create my own one and if yes what kind of input does it
> need?

Have you read
?highlight=language%20model#building-your-own-scorer>
?

[Archived Post]

[JRMeyer]

>>> ed15v
[December 8, 2020, 7:11pm]

Yeah but it's still not clear to me. I already have a lm.binary that was
created with a big text corpus though. My question is if it makes more
sense to reuse it or for example generate a file with all the possible
sentences that can occur instead. Or a combination of text corpus +
sentences of the voice assistant

[Archived Post]

[JRMeyer]

>>> lissyx
[December 8, 2020, 7:12pm]

> of the voice assistant

please define your problem, the correct handling will be obvious once
you states exactly what you are trying to achieve

[Archived Post]

[JRMeyer]

>>> ed15v
[December 8, 2020, 7:29pm]

I have a custom voice assistant where I have different skills installed
so I have various intents that can be triggered. I want to improve the
accuracy of the speech-to-text so the natural language processing has it
easier when there is ambiguity.

I've installed a custom model that was created using different speech
corpuses including mozilla common voice. Now since this model is for
general use, I want to adapt it to my use so it becomes more accurate.

I already created a list of all words that can occur when interacting
with my voice assistant. I'm not sure if I also need to create all
possible sentences that can occur to generate an own lm.binary. Or if
using the given lm.binary is better in this case.

[Archived Post]