I have set up pocket sphinx in linux and am trying to generate custom language model. I tried to generate my custom language model using this link: http://www.speech.cs.cmu.edu/tools/lmtool-new.html
The code I used to work with provided model works fine but when feeding my custom model I get the following error:
_pocketsphinx.new_Decoder(*args) RuntimeError: new_Decoder returned -1
The used sample code is as follows:
import os
from os import environ, path
from pocketsphinx import LiveSpeech
from sphinxbase import *
pocketsphinx_dir = os.path.dirname(__file__)
print(pocketsphinx_dir)
MODELDIR = "./myModel/model"
MODELDIR1 = "./myModel"
speech = LiveSpeech(
verbose=False,
sampling_rate=16000,
buffer_size=2048,
no_search=False,
full_utt=False,
hmm=os.path.join(MODELDIR, 'en-us/en-us'),
lm=os.path.join(MODELDIR1, '2506.lm'),
dic=os.path.join(MODELDIR1, '2506.dic')
)
for phrase in speech: print(phrase)
Also note that I already tried using the absolute path as suggested in this answer but that did not helped my case.