fame_phonetics.py and functions to make quests.hed to tie triphone are added.
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yemaozi88
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bf586fcde5
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@ -51,6 +51,9 @@
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<Compile Include="fame_hmm.py" />
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<Compile Include="phoneset\fame_asr.py" />
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<Compile Include="phoneset\fame_ipa.py" />
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<Compile Include="phoneset\fame_phonetics.py">
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<SubType>Code</SubType>
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</Compile>
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<Compile Include="stimmen_functions.py" />
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<Compile Include="stimmen_test.py" />
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</ItemGroup>
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@ -370,6 +370,7 @@ def ipa2asr(ipa):
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def ipa2htk(ipa):
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curr_dir = os.path.dirname(os.path.abspath(__file__))
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translation_key_ipa2asr = np.load(os.path.join(curr_dir, 'phoneset', 'fame_ipa2asr.npy')).item(0)
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#translation_key_ipa2asr = np.load(r'c:\Users\Aki\source\repos\acoustic_model\acoustic_model\phoneset\fame_ipa2asr.npy').item(0)
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ipa_splitted = convert_phoneset.split_word(ipa, fame_ipa.multi_character_phones)
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ipa_splitted = fame_ipa.phone_reduction(ipa_splitted)
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@ -11,7 +11,7 @@ import numpy as np
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import pandas as pd
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import fame_functions
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from phoneset import fame_ipa, fame_asr
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from phoneset import fame_ipa, fame_asr, fame_phonetics
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import defaultfiles as default
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sys.path.append(default.toolbox_dir)
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import file_handling as fh
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@ -44,6 +44,9 @@ lexicon_asr = os.path.join(default.fame_dir, 'lexicon', 'lex.asr')
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lexicon_oov = os.path.join(default.fame_dir, 'lexicon', 'lex.oov')
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config_dir = os.path.join(default.htk_dir, 'config')
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phonelist_full_txt = os.path.join(config_dir, 'phonelist_full.txt')
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tree_hed = os.path.join(config_dir, 'tree.hed')
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quest_hed = os.path.join(config_dir, 'quests.hed')
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model_dir = os.path.join(default.htk_dir, 'model')
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model_mono0_dir = os.path.join(model_dir, 'mono0')
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@ -57,7 +60,7 @@ lexicon_dir = os.path.join(default.htk_dir, 'lexicon')
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lexicon_htk_asr = os.path.join(lexicon_dir, 'lex.htk_asr')
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lexicon_htk_oov = os.path.join(lexicon_dir, 'lex.htk_oov')
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lexicon_htk = os.path.join(lexicon_dir, 'lex.htk')
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#lexicon_htk_with_sp = os.path.join(lexicon_dir, 'lex_with_sp.htk')
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lexicon_htk_triphone = os.path.join(lexicon_dir, 'lex_triphone.htk')
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feature_dir = os.path.join(default.htk_dir, 'mfc')
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fh.make_new_directory(feature_dir, existing_dir='leave')
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@ -270,7 +273,7 @@ if train_monophone_without_sp:
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'mfc',
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os.path.join(htk_stimmen_dir, 'word_lattice.ltc'),
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mlf_file=mlf_file_train,
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lexicon_file=os.path.join(htk_stimmen_dir, 'lexicon_recognition.dic')
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lexicon=os.path.join(htk_stimmen_dir, 'lexicon_recognition.dic')
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)
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print("elapsed time: {}".format(time.time() - timer_start))
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@ -290,27 +293,27 @@ if add_sp:
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modeln_dir_pre = os.path.join(model_mono1_dir, 'iter'+str(niter))
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modeln_dir = os.path.join(model_mono1sp_dir, 'iter0')
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#hmmdefs_pre = os.path.join(modeln_dir_pre, 'hmmdefs')
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chtk.add_sp(modeln_dir_pre, modeln_dir)
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print("elapsed time: {}".format(time.time() - timer_start))
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print('>>> re-estimation...')
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niter = chtk.re_estimation_until_saturated(
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model_mono1sp_dir, modeln_dir, improvement_threshold, hcompv_scp_train,
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os.path.join(htk_stimmen_dir, 'mfc'),
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'mfc',
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os.path.join(htk_stimmen_dir, 'word_lattice.ltc'),
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mlf_file=mlf_file_train_with_sp,
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lexicon_file=os.path.join(htk_stimmen_dir, 'lexicon_recognition.dic'),
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lexicon=os.path.join(htk_stimmen_dir, 'lexicon_recognition.dic'),
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model_type='monophone_with_sp'
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)
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print("elapsed time: {}".format(time.time() - timer_start))
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## ======================= train model with re-aligned mlf =======================
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if train_monophone_with_re_aligned_mlf:
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print('==== traina monophone with re-aligned mlf ====')
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timer_start = time.time()
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print('>>> re-aligning the training data... ')
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timer_start = time.time()
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niter = chtk.get_niter_max(model_mono1sp_dir)
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modeln_dir = os.path.join(model_mono1sp_dir, 'iter'+str(niter))
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chtk.make_aligned_label(
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@ -326,7 +329,6 @@ if train_monophone_with_re_aligned_mlf:
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mlf_file_train_with_sp,
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hcompv_scp_train,
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hcompv_scp_train_updated)
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print("elapsed time: {}".format(time.time() - timer_start))
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print('>>> re-estimation... ')
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timer_start = time.time()
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@ -341,7 +343,7 @@ if train_monophone_with_re_aligned_mlf:
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'mfc',
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os.path.join(htk_stimmen_dir, 'word_lattice.ltc'),
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mlf_file=mlf_file_train_aligned,
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lexicon_file=os.path.join(htk_stimmen_dir, 'lexicon_recognition.dic'),
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lexicon=os.path.join(htk_stimmen_dir, 'lexicon_recognition.dic'),
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model_type='monophone_with_sp'
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)
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print("elapsed time: {}".format(time.time() - timer_start))
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@ -350,7 +352,7 @@ if train_monophone_with_re_aligned_mlf:
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## ======================= train triphone =======================
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if train_triphone:
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print('==== traina triphone model ====')
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#model_out_dir = os.path.join(model_dir, 'hmm1_tri', 'iter1')
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timer_start = time.time()
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triphonelist_txt = os.path.join(config_dir, 'triphonelist.txt')
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triphone_mlf = os.path.join(default.htk_dir, 'label', 'train_triphone.mlf')
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@ -385,7 +387,7 @@ if train_triphone:
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# 'mfc',
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# os.path.join(htk_stimmen_dir, 'word_lattice.ltc'),
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# mlf_file=triphone_mlf,
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# lexicon_file=os.path.join(htk_stimmen_dir, 'lexicon_recognition.dic'),
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# lexicon=os.path.join(htk_stimmen_dir, 'lexicon_recognition.dic'),
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# model_type='triphone'
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# )
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#
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@ -409,8 +411,21 @@ if train_triphone:
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macros=os.path.join(_modeln_dir_pre, 'macros'),
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model_type='triphone')
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print("elapsed time: {}".format(time.time() - timer_start))
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## ======================= train triphone =======================
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if train_triphone_tied:
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print('==== traina tied-state triphone ====')
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timer_start = time.time()
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print('>>> making lexicon for triphone... ')
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chtk.make_triphone_full(phonelist_full_txt, lexicon_htk_triphone)
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print('>>> making headers... ')
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chtk.make_tree_header(tree_hed)
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fame_phonetics.make_quests_hed(quest_hed)
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print("elapsed time: {}".format(time.time() - timer_start))
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@ -109,30 +109,30 @@ np.save(os.path.join('phoneset', 'fame_ipa2asr.npy'), translation_key_ipa2asr)
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## check which letters are not coded in ascii.
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print('asr phones which cannot be coded in ascii:\n')
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for i in fame_asr.phoneset_short:
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try:
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i_encoded = i.encode("ascii")
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#print("{0} --> {1}".format(i, i.encode("ascii")))
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except UnicodeEncodeError:
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print(">>> {}".format(i))
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#print('asr phones which cannot be coded in ascii:\n')
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#for i in fame_asr.phoneset_short:
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# try:
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# i_encoded = i.encode("ascii")
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# #print("{0} --> {1}".format(i, i.encode("ascii")))
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# except UnicodeEncodeError:
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# print(">>> {}".format(i))
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print("letters in the scripts which is not coded in ascii:\n")
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for dataset in ['train', 'devel', 'test']:
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timer_start = time.time()
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#print("letters in the scripts which is not coded in ascii:\n")
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#for dataset in ['train', 'devel', 'test']:
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# timer_start = time.time()
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script_list = os.path.join(default.fame_dir, 'data', dataset, 'text')
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with open(script_list, "rt", encoding="utf-8") as fin:
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scripts = fin.read().split('\n')
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# script_list = os.path.join(default.fame_dir, 'data', dataset, 'text')
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# with open(script_list, "rt", encoding="utf-8") as fin:
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# scripts = fin.read().split('\n')
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for line in scripts:
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sentence = ' '.join(line.split(' ')[1:])
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sentence_htk = fame_functions.word2htk(sentence)
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# for line in scripts:
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# sentence = ' '.join(line.split(' ')[1:])
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# sentence_htk = fame_functions.word2htk(sentence)
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#if len(re.findall(r'[âêôûč\'àéèúćäëïöü]', sentence))==0:
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try:
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sentence_htk = bytes(sentence_htk, 'ascii')
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except UnicodeEncodeError:
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print(sentence)
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print(sentence_htk)
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# #if len(re.findall(r'[âêôûč\'àéèúćäëïöü]', sentence))==0:
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# try:
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# sentence_htk = bytes(sentence_htk, 'ascii')
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# except UnicodeEncodeError:
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# print(sentence)
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# print(sentence_htk)
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@ -80,8 +80,11 @@ def phone_reduction(phones):
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Args:
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phones (list): list of phones.
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"""
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if sum([phone in phones for phone in phones_to_be_removed]) != 0:
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print('input includes phone(s) which is not defined in fame_asr.')
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print('those phone(s) are removed.')
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return [reduction_key.get(i, i) for i in phones
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if not i in phones_to_be_removed]
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if i not in phones_to_be_removed]
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phoneset_short = list(set(phone_reduction(phoneset)))
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phoneset_short.sort()
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@ -96,7 +99,7 @@ translation_key_asr2htk = {
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'ṷ': 'u_',
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# on the analogy of German umlaut, 'e' is used.
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'ö': 'oe', 'ö:': 'oe:',
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'ö': 'oe', 'ö:': 'oe:', ''
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'ü': 'ue', 'ü:': 'ue:',
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# on the analogy of Chinese...
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@ -61,7 +61,7 @@ phoneset = [
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'ɔⁿ',
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'ɔ:',
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'ɔ:ⁿ',
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#'ɔ̈', # not included in lex.ipa
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'ɔ̈', # not included in lex.ipa
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'ɔ̈.',
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'ɔ̈:',
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@ -0,0 +1,197 @@
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import sys
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import os
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os.chdir(r'C:\Users\Aki\source\repos\acoustic_model\acoustic_model')
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import fame_functions
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from phoneset import fame_ipa, fame_asr
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import convert_phoneset
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## general
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stop = 'p, b, t, d, k, g'
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nasal = 'm, n, ŋ'
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fricative = 's, z, f, v, h, x, j'
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liquid = 'l, r'
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vowel = 'a, a:, e:, i, i:, i̯, o, o:, u, u:, ṷ, ö, ö:, ü, ü:, ɔ, ɔ:, ɔ̈, ə, ɛ, ɛ:, ɪ, ɪ:'
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## consonant
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c_front = 'p, b, m, f, v'
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c_central = 't, d, n, s, z, l, r'
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c_back = 'k, g, ŋ, h, x, j'
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fortis = 'p, t, k, f, s'
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lenis = 'b, d, g, v, z, j'
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neither_fortis_nor_lenis = 'm, n, ŋ, h, l, r, x'
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coronal = 't, d, n, s, z, l, r, j'
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non_coronal = 'p, b, m, k, g, ŋ, f, v, h, x'
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anterior = 'p, b, m, t, d, n, f, v, s, z, l'
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non_anterior = 'k, g, ŋ, h, x, j, r'
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continuent = 'm, n, ŋ, f, v, s, z, h, l, r'
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non_continuent = 'p, b, t, d, k, g, x, j'
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strident = 's, z, j'
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non_strident = 'f, v, h'
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unstrident = 'p, b, t, d, m, n, ŋ, k, g, r, x'
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glide = 'h, l, r'
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syllabic = 'm, l, ŋ'
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unvoiced = 'p, t, k, s, f, x, h'
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voiced = 'b, d, g, z, v, m, n, ŋ, l, r, j'
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#affricate: ???
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non_affricate = 's, z, f, v'
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voiced_stop = 'b, d, g'
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unvoiced_stop = 'p, t, k'
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front_stop = 'p, b'
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central_stop = 't, d'
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back_stop = 'k, g'
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voiced_fricative = 'z, v'
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unvoiced_fricative = 's, f'
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front_fricative = 'f, v'
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central_fricative = 's, z'
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back_fricative = 'j'
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## vowel
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v_front = 'i, i:, i̯, ɪ, ɪ:, e:, ə, ɛ, ɛ:, a, a:'
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v_central = 'ə, ɛ, ɛ:, a, a:'
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v_back = 'u, u:, ü, ü:, ṷ, ɔ, ɔ:, ɔ̈, ö, ö:, o, o:'
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long = 'a:, e:, i:, o:, u:, ö:, ü:, ɔ:, ɛ:, ɪ:'
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short = 'a, i, i̯, o, u, ṷ, ö, ü, ɔ, ɔ̈, ə, ɛ, ɪ'
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#Dipthong: ???
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#Front-Start: ???
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#Fronting: ???
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high = 'i, i:, i̯, ɪ, ɪ: u, u:, ṷ, ə, e:, o, o:, ö, ö:, ü, ü:'
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medium = 'e:, ə, ɛ, ɛ:, ɔ, ɔ:, ɔ̈, o, o:, ö, ö:'
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low = 'a, a:, ɛ, ɛ:, ɔ, ɔ:, ɔ̈'
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rounded = 'a, a:, o, o:, u, u:, ṷ, ö, ö:, ü, ü:, ɔ, ɔ:, ɔ̈'
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unrounded = 'i, i:, i̯, e:, ə, ɛ, ɛ:, ɪ, ɪ:'
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i_vowel = 'i, i:, i̯, ɪ, ɪ:'
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e_vowel = 'e:,ə, ɛ, ɛ:'
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a_vowel = 'a, a:'
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o_vowel = 'o, o:, ö, ö:, ɔ, ɔ:, ɔ̈'
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u_vowel = 'u, u:, ṷ, ü, ü:'
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## htk phoneset
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phoneset = fame_asr.phoneset_htk
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## convert ipa group to htk format for quests.hed.
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def _ipa2quest(R_or_L, ipa_text):
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assert R_or_L in ['R', 'L'], print('the first argument should be either R or L.')
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ipa_list = ipa_text.replace(' ', '').split(',')
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if R_or_L == 'R':
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quests_list = ['*+' + fame_functions.ipa2htk(ipa) for ipa in ipa_list]
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else:
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quests_list = [fame_functions.ipa2htk(ipa) + '-*' for ipa in ipa_list]
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return ','.join(quests_list)
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def make_quests_hed(quest_hed):
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def _add_quests_item(R_or_L, item_name_, ipa_text):
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assert R_or_L in ['R', 'L'], print('the first argument should be either R or L.')
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item_name = R_or_L + '_' + item_name_
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with open(quest_hed, 'ab') as f:
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f.write(bytes('QS "' + item_name + '"\t{ ' + _ipa2quest(R_or_L, ipa_text) + ' }\n', 'ascii'))
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if os.path.exists(quest_hed):
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os.remove(quest_hed)
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for R_or_L in ['R', 'L']:
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_add_quests_item(R_or_L, 'NonBoundary', '*')
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_add_quests_item(R_or_L, 'Silence', 'sil')
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_add_quests_item(R_or_L, 'Stop', stop)
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_add_quests_item(R_or_L, 'Nasal', nasal)
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_add_quests_item(R_or_L, 'Fricative', fricative)
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_add_quests_item(R_or_L, 'Liquid', liquid)
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_add_quests_item(R_or_L, 'Vowel', vowel)
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_add_quests_item(R_or_L, 'C-Front', c_front)
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_add_quests_item(R_or_L, 'C-Central', c_central)
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_add_quests_item(R_or_L, 'C-Back', c_back)
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_add_quests_item(R_or_L, 'V-Front', v_front)
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_add_quests_item(R_or_L, 'V-Central', v_central)
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_add_quests_item(R_or_L, 'V-Back', v_back)
|
||||
|
||||
_add_quests_item(R_or_L, 'Front', c_front + v_front)
|
||||
_add_quests_item(R_or_L, 'Central', c_central + v_central)
|
||||
_add_quests_item(R_or_L, 'Back', c_front + v_back)
|
||||
|
||||
_add_quests_item(R_or_L, 'Fortis', fortis)
|
||||
_add_quests_item(R_or_L, 'Lenis', lenis)
|
||||
_add_quests_item(R_or_L, 'UnFortLenis', neither_fortis_nor_lenis)
|
||||
|
||||
_add_quests_item(R_or_L, 'Coronal', coronal)
|
||||
_add_quests_item(R_or_L, 'NonCoronal', non_coronal)
|
||||
|
||||
_add_quests_item(R_or_L, 'Anterior', anterior)
|
||||
_add_quests_item(R_or_L, 'NonAnterior', non_anterior)
|
||||
|
||||
_add_quests_item(R_or_L, 'Continuent', continuent)
|
||||
_add_quests_item(R_or_L, 'NonContinuent', non_continuent)
|
||||
|
||||
_add_quests_item(R_or_L, 'Strident', strident)
|
||||
_add_quests_item(R_or_L, 'NonStrident', non_strident)
|
||||
_add_quests_item(R_or_L, 'UnStrident', unstrident)
|
||||
|
||||
_add_quests_item(R_or_L, 'Glide', glide)
|
||||
_add_quests_item(R_or_L, 'Syllabic', syllabic)
|
||||
|
||||
_add_quests_item(R_or_L, 'Unvoiced-Cons', unvoiced)
|
||||
_add_quests_item(R_or_L, 'Voiced-Cons', voiced)
|
||||
_add_quests_item(R_or_L, 'Unvoiced-All', unvoiced + ', sil')
|
||||
|
||||
_add_quests_item(R_or_L, 'Long', long)
|
||||
_add_quests_item(R_or_L, 'Short', short)
|
||||
|
||||
#_add_quests_item(R_or_L, 'Dipthong', xxx)
|
||||
#_add_quests_item(R_or_L, 'Front-Start', xxx)
|
||||
#_add_quests_item(R_or_L, 'Fronting', xxx)
|
||||
|
||||
_add_quests_item(R_or_L, 'High', high)
|
||||
_add_quests_item(R_or_L, 'Medium', medium)
|
||||
_add_quests_item(R_or_L, 'Low', low)
|
||||
|
||||
_add_quests_item(R_or_L, 'Rounded', rounded)
|
||||
_add_quests_item(R_or_L, 'UnRounded', unrounded)
|
||||
|
||||
#_add_quests_item(R_or_L, 'Affricative', rounded)
|
||||
_add_quests_item(R_or_L, 'NonAffricative', non_affricate)
|
||||
|
||||
_add_quests_item(R_or_L, 'IVowel', i_vowel)
|
||||
_add_quests_item(R_or_L, 'EVowel', e_vowel)
|
||||
_add_quests_item(R_or_L, 'AVowel', a_vowel)
|
||||
_add_quests_item(R_or_L, 'OVowel', o_vowel)
|
||||
_add_quests_item(R_or_L, 'UVowel', u_vowel)
|
||||
|
||||
_add_quests_item(R_or_L, 'Voiced-Stop', voiced_stop)
|
||||
_add_quests_item(R_or_L, 'UnVoiced-Stop', unvoiced_stop)
|
||||
|
||||
_add_quests_item(R_or_L, 'Front-Stop', front_stop)
|
||||
_add_quests_item(R_or_L, 'Central-Stop', central_stop)
|
||||
_add_quests_item(R_or_L, 'Back-Stop', back_stop)
|
||||
|
||||
_add_quests_item(R_or_L, 'Voiced-Fric', voiced_fricative)
|
||||
_add_quests_item(R_or_L, 'UnVoiced-Fric', unvoiced_fricative)
|
||||
|
||||
_add_quests_item(R_or_L, 'Front-Fric', front_fricative)
|
||||
_add_quests_item(R_or_L, 'Central-Fric', central_fricative)
|
||||
_add_quests_item(R_or_L, 'Back-Fric', back_fricative)
|
||||
|
||||
for p in phoneset:
|
||||
_add_quests_item(R_or_L, p, p)
|
||||
|
||||
return
|
||||
|
||||
Loading…
Reference in New Issue