revert "load novo phoneset" to continue working.

This commit is contained in:
yemaozi88 2018-12-30 23:19:18 +01:00
parent af785e51cf
commit beff33fdf9
4 changed files with 9 additions and 17 deletions

3
.gitignore vendored
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@ -1,9 +1,6 @@
## Ignore Visual Studio temporary files, build results, and ## Ignore Visual Studio temporary files, build results, and
## files generated by popular Visual Studio add-ons. ## files generated by popular Visual Studio add-ons.
## important ##
.acoustic_model/forced_alignment_novo.py
# User-specific files # User-specific files
*.suo *.suo
*.user *.user

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@ -3,7 +3,7 @@ import os
#default_hvite_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'data', 'htk', 'config.HVite') #default_hvite_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'data', 'htk', 'config.HVite')
cygwin_dir = r'C:\cygwin64\home\Aki\acoustic_model' cygwin_dir = r'C:\cygwin64\home\Aki\acoustic_model'
kaldi_dir = r'C:\OneDrive\WSL\kaldi-trunk\egs\fame\s5'
#config_hcopy = os.path.join(cygwin_dir, 'config', 'config.HCopy') #config_hcopy = os.path.join(cygwin_dir, 'config', 'config.HCopy')
#config_train = os.path.join(cygwin_dir, 'config', 'config.train') #config_train = os.path.join(cygwin_dir, 'config', 'config.train')
config_hvite = os.path.join(cygwin_dir, 'config', 'config.HVite') config_hvite = os.path.join(cygwin_dir, 'config', 'config.HVite')
@ -30,16 +30,11 @@ repo_dir = r'C:\Users\Aki\source\repos'
ipa_xsampa_converter_dir = os.path.join(repo_dir, 'ipa-xsama-converter') ipa_xsampa_converter_dir = os.path.join(repo_dir, 'ipa-xsama-converter')
forced_alignment_module_dir = os.path.join(repo_dir, 'forced_alignment') forced_alignment_module_dir = os.path.join(repo_dir, 'forced_alignment')
WSL_dir = r'C:\OneDrive\WSL' fame_dir = r'C:\OneDrive\WSL\kaldi-trunk\egs\fame\s5\corpus'
fame_dir = os.path.join(WSL_dir, 'kaldi-trunk', 'egs', 'fame')
fame_s5_dir = os.path.join(fame_dir, 's5')
fame_corpus_dir = os.path.join(fame_dir, 'corpus')
experiments_dir = r'c:\OneDrive\Research\rug\experiments' experiments_dir = r'c:\OneDrive\Research\rug\experiments'
stimmen_transcription_xlsx = os.path.join(experiments_dir, 'stimmen', 'data', 'Frisian Variants Picture Task Stimmen.xlsx') stimmen_transcription_xlsx = os.path.join(experiments_dir, 'stimmen', 'data', 'Frisian Variants Picture Task Stimmen.xlsx')
stimmen_data_dir = os.path.join(experiments_dir, 'stimmen', 'data') stimmen_data_dir = os.path.join(experiments_dir, 'stimmen', 'data')
phonelist_friesian_txt = os.path.join(experiments_dir, 'friesian', 'acoustic_model', 'config', 'phonelist_friesian.txt') phonelist_friesian_txt = os.path.join(experiments_dir, 'friesian', 'acoustic_model', 'config', 'phonelist_friesian.txt')
phonelist_novo70_xlsx = os.path.join(experiments_dir, 'Nederlandse phonesets_aki.xlsx')
novo_api_dir = os.path.join(WSL_dir, 'python-novo-api')
cmu69_phoneset = os.path.join(novo_api_dir, 'novoapi', 'asr', 'phoneset', 'en', 'cmu69.phoneset')

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@ -30,12 +30,12 @@ htk_dict_dir = os.path.join(default.experiments_dir, 'stimmen', 'dic_short
fa_dir = os.path.join(default.experiments_dir, 'stimmen', 'FA_44k') fa_dir = os.path.join(default.experiments_dir, 'stimmen', 'FA_44k')
result_dir = os.path.join(default.experiments_dir, 'stimmen', 'result') result_dir = os.path.join(default.experiments_dir, 'stimmen', 'result')
kaldi_data_dir = os.path.join(default.fame_s5_dir, 'data', 'alignme') kaldi_data_dir = os.path.join(default.kaldi_dir, 'data', 'alignme')
kaldi_dict_dir = os.path.join(default.fame_s5_dir, 'data', 'local', 'dict') kaldi_dict_dir = os.path.join(default.kaldi_dir, 'data', 'local', 'dict')
lexicon_txt = os.path.join(kaldi_dict_dir, 'lexicon.txt') lexicon_txt = os.path.join(kaldi_dict_dir, 'lexicon.txt')
#lex_asr = os.path.join(default.fame_corpus_dir, 'lexicon', 'lex.asr') #lex_asr = os.path.join(default.fame_dir, 'lexicon', 'lex.asr')
#lex_asr_htk = os.path.join(default.fame_corpus_dir, 'lexicon', 'lex.asr_htk') #lex_asr_htk = os.path.join(default.fame_dir, 'lexicon', 'lex.asr_htk')
# procedure # procedure
@ -278,8 +278,8 @@ if make_kaldi_lexicon_txt:
## ======================= load kaldi forced alignment result ======================= ## ======================= load kaldi forced alignment result =======================
if load_forced_alignment_kaldi: if load_forced_alignment_kaldi:
phones_txt = os.path.join(default.fame_s5_dir, 'data', 'lang', 'phones.txt') phones_txt = os.path.join(default.kaldi_dir, 'data', 'lang', 'phones.txt')
merged_alignment_txt = os.path.join(default.fame_s5_dir, 'exp', 'tri1_alignme', 'merged_alignment.txt') merged_alignment_txt = os.path.join(default.kaldi_dir, 'exp', 'tri1_alignme', 'merged_alignment.txt')
#filenames = np.load(data_dir + '\\filenames.npy') #filenames = np.load(data_dir + '\\filenames.npy')
#words = np.load(data_dir + '\\words.npy') #words = np.load(data_dir + '\\words.npy')