Inference on android using custom language model and trie

[JRMeyer]

>>> arushngpl16
[August 5, 2019, 8:36am]

Hello, slash
I created my own lm.binary and trie (for just the digits one to nine)
using the native binaries and I am trying to use them in the basic
android app. slash
I placed them in the same location as the output_graph.tflite and used
this code:

this._m = new DeepSpeechModel(tfliteModel, N_CEP, N_CONTEXT, alphabet, BEAM_WIDTH);
this._m.enableDecoderWihLM(alphabetFile, lmFile, trieFile, LM_ALPHA, LM_BETA);

But on running the inference, it is mapping to words other than the ones
present in my generated lm and trie. i.e. Instead of inferring only the
numbers one to nine, it does print other words as well. There are no
errors in the logs too. Is there something I am missing? Is there a way
to check which lm file is being picked up?

[This is an archived TTS discussion thread from discourse.mozilla.org/t/inference-on-android-using-custom-language-model-and-trie]

[JRMeyer]

>>> lissyx
[August 6, 2019, 8:44am]



> Is there a way to check which lm file is being picked up?

if you are passing the proper file path, and there's no error / crash,
there's mostly no doubt yours are being used.



> Instead of inferring only the numbers one to nine, it does print other
> words as well.

Is it possible it's just that your acoustic model is not producing
numbers ?

[Archived Post]

[JRMeyer]

>>> arushngpl16
[September 23, 2019, 5:29am]

I got the solution to my problem. I believe it was a version mismatch.
The lm file was not actually being picked up and even no error was being
thrown. I tried to keep the deepspeech codebase version to 0.5.1 and
built the lm fresh and was able to get the model working with my lm.

[Archived Post]

[JRMeyer]

>>> lissyx
[September 23, 2019, 6:54am]

Thanks for the feedback, that does make sense. It'd be great if you can
identify how this can be improved / where we should have thrown
something.

[Archived Post]