@lissyx
Well you should be able to augment the language model that way
yes sir i already did this. i follow their instruction,
TUTORIAL : How I trained a specific french model to control my robot
i followed this sir instructions and then `
my own audio files vocab.txt.
alphabet.txt .
create a csv files like audio_file_dev.csv, audio_file_test.csv, audio_file_train.csv
i create my audio file vocab.txt --> lm.arpa --> lm.binary & trie
i run a DeepSpeech.py
it will generate a output_model.pb.
i test that output_model.pb, it not given a good results sir.
what i have to do ? if i will use my output_model.pb it not form speech sentence. it will display one or two technical term trained words only.
i was tried to implemented language model, but it is not working. because of amount of data is very less(50 audio files). so it is not gave a proper result.
so second i tried to implemented a continues fine tuning, it is only accept preddefined your deepspeech binary files(ex: lm.binary, trie). it is not predict my audio technical term words.
what i do sir? help me. thank you sir.