revert "load novo phoneset" to continue working.
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.gitignore
vendored
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.gitignore
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@ -1,9 +1,6 @@
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## Ignore Visual Studio temporary files, build results, and
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## files generated by popular Visual Studio add-ons.
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## important ##
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.acoustic_model/forced_alignment_novo.py
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# User-specific files
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*.suo
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*.user
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Binary file not shown.
@ -3,7 +3,7 @@ import os
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#default_hvite_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'data', 'htk', 'config.HVite')
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cygwin_dir = r'C:\cygwin64\home\Aki\acoustic_model'
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kaldi_dir = r'C:\OneDrive\WSL\kaldi-trunk\egs\fame\s5'
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#config_hcopy = os.path.join(cygwin_dir, 'config', 'config.HCopy')
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#config_train = os.path.join(cygwin_dir, 'config', 'config.train')
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config_hvite = os.path.join(cygwin_dir, 'config', 'config.HVite')
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@ -30,16 +30,11 @@ repo_dir = r'C:\Users\Aki\source\repos'
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ipa_xsampa_converter_dir = os.path.join(repo_dir, 'ipa-xsama-converter')
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forced_alignment_module_dir = os.path.join(repo_dir, 'forced_alignment')
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WSL_dir = r'C:\OneDrive\WSL'
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fame_dir = os.path.join(WSL_dir, 'kaldi-trunk', 'egs', 'fame')
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fame_s5_dir = os.path.join(fame_dir, 's5')
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fame_corpus_dir = os.path.join(fame_dir, 'corpus')
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fame_dir = r'C:\OneDrive\WSL\kaldi-trunk\egs\fame\s5\corpus'
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experiments_dir = r'c:\OneDrive\Research\rug\experiments'
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stimmen_transcription_xlsx = os.path.join(experiments_dir, 'stimmen', 'data', 'Frisian Variants Picture Task Stimmen.xlsx')
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stimmen_data_dir = os.path.join(experiments_dir, 'stimmen', 'data')
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phonelist_friesian_txt = os.path.join(experiments_dir, 'friesian', 'acoustic_model', 'config', 'phonelist_friesian.txt')
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novo_api_dir = os.path.join(WSL_dir, 'python-novo-api')
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cmu69_phoneset = os.path.join(novo_api_dir, 'novoapi', 'asr', 'phoneset', 'en', 'cmu69.phoneset')
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phonelist_novo70_xlsx = os.path.join(experiments_dir, 'Nederlandse phonesets_aki.xlsx')
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@ -30,12 +30,12 @@ htk_dict_dir = os.path.join(default.experiments_dir, 'stimmen', 'dic_short
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fa_dir = os.path.join(default.experiments_dir, 'stimmen', 'FA_44k')
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result_dir = os.path.join(default.experiments_dir, 'stimmen', 'result')
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kaldi_data_dir = os.path.join(default.fame_s5_dir, 'data', 'alignme')
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kaldi_dict_dir = os.path.join(default.fame_s5_dir, 'data', 'local', 'dict')
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kaldi_data_dir = os.path.join(default.kaldi_dir, 'data', 'alignme')
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kaldi_dict_dir = os.path.join(default.kaldi_dir, 'data', 'local', 'dict')
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lexicon_txt = os.path.join(kaldi_dict_dir, 'lexicon.txt')
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#lex_asr = os.path.join(default.fame_corpus_dir, 'lexicon', 'lex.asr')
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#lex_asr_htk = os.path.join(default.fame_corpus_dir, 'lexicon', 'lex.asr_htk')
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#lex_asr = os.path.join(default.fame_dir, 'lexicon', 'lex.asr')
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#lex_asr_htk = os.path.join(default.fame_dir, 'lexicon', 'lex.asr_htk')
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# procedure
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@ -278,8 +278,8 @@ if make_kaldi_lexicon_txt:
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## ======================= load kaldi forced alignment result =======================
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if load_forced_alignment_kaldi:
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phones_txt = os.path.join(default.fame_s5_dir, 'data', 'lang', 'phones.txt')
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merged_alignment_txt = os.path.join(default.fame_s5_dir, 'exp', 'tri1_alignme', 'merged_alignment.txt')
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phones_txt = os.path.join(default.kaldi_dir, 'data', 'lang', 'phones.txt')
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merged_alignment_txt = os.path.join(default.kaldi_dir, 'exp', 'tri1_alignme', 'merged_alignment.txt')
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#filenames = np.load(data_dir + '\\filenames.npy')
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#words = np.load(data_dir + '\\words.npy')
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