acoustic_model/acoustic_model/defaultfiles.py

import os
# add path of the parent directory
#os.path.dirname(os.path.realpath(__file__))

# repos
repo_dir = r'C:\Users\Aki\source\repos'
ipa_xsampa_converter_dir    = os.path.join(repo_dir, 'ipa-xsama-converter')
forced_alignment_module_dir = os.path.join(repo_dir, 'forced_alignment')
accent_classification_dir   = os.path.join(repo_dir, 'accent_classification', 'accent_classification')
toolbox_dir					= os.path.join(repo_dir, 'toolbox')

WSL_dir   = r'C:\OneDrive\WSL'
novo_api_dir = os.path.join(WSL_dir, 'python-novo-api', 'novoapi')
#novo_api_dir = r'c:\Python36-32\Lib\site-packages\novoapi'

# working directories
rug_dir = r'c:\OneDrive\Research\rug'
experiments_dir = os.path.join(rug_dir, 'experiments')
htk_dir		= os.path.join(experiments_dir, 'acoustic_model', 'fame', 'htk')
kaldi_dir   = os.path.join(WSL_dir, 'kaldi-trunk', 'egs', '_stimmen')
stimmen_dir = os.path.join(experiments_dir, 'stimmen')

# data
fame_dir = os.path.join(rug_dir, '_data', 'FAME')
#fame_dir = os.path.join(WSL_dir, 'kaldi-trunk', 'egs', 'fame')
# 44.1 kHz
#stimmen_wav_dir  = os.path.join(stimmen_dir, 'wav')
# 16 kHz
stimmen_wav_dir  = r'c:\OneDrive\WSL\kaldi-trunk\egs\fame\s5\corpus\stimmen'
stimmen_transcription_xlsx = os.path.join(stimmen_dir, 'data', 'Frisian Variants Picture Task Stimmen.xlsx')
phonelist_friesian_txt     = os.path.join(experiments_dir, 'friesian', 'acoustic_model', 'config', 'phonelist_friesian.txt')
novo70_phoneset = os.path.join(novo_api_dir, 'asr', 'phoneset', 'nl', 'novo70.phoneset')



#phonelist_txt = os.path.join(htk_dir, 'config', 'phonelist.txt')
#fame_s5_dir     = os.path.join(fame_dir, 's5')
#fame_corpus_dir = os.path.join(fame_dir, 'corpus')
#stimmen_result_novoapi_dir = os.path.join(stimmen_dir, 'result', 'novoapi')
# novoapi_functions