functions are added to perform forced_alignment using novoapi. results can be written in novo70 or IPA.
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@ -3,6 +3,7 @@
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## important ##
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## important ##
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.acoustic_model/forced_alignment_novo.py
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.acoustic_model/forced_alignment_novo.py
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.acoustic_model/novoapi_functions.py
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# User-specific files
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# User-specific files
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*.suo
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*.suo
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Binary file not shown.
Binary file not shown.
@ -36,8 +36,14 @@ 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_corpus_dir = os.path.join(fame_dir, 'corpus')
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experiments_dir = r'c:\OneDrive\Research\rug\experiments'
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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_dir = os.path.join(experiments_dir, 'stimmen')
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stimmen_data_dir = os.path.join(experiments_dir, 'stimmen', 'data')
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stimmen_data_dir = os.path.join(stimmen_dir, 'data')
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# 44.1 kHz
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#stimmen_wav_dir = os.path.join(stimmen_dir, 'wav')
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# 16 kHz
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stimmen_wav_dir = r'c:\OneDrive\WSL\kaldi-trunk\egs\fame\s5\corpus\stimmen'
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stimmen_transcription_xlsx = os.path.join(stimmen_data_dir, 'Frisian Variants Picture Task Stimmen.xlsx')
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phonelist_friesian_txt = os.path.join(experiments_dir, 'friesian', 'acoustic_model', 'config', 'phonelist_friesian.txt')
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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', 'novoapi')
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novo_api_dir = os.path.join(WSL_dir, 'python-novo-api', 'novoapi')
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@ -256,7 +256,7 @@ if make_kaldi_lexicon_txt:
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# f.write("{0},{1}\n".format(key,c[key]))
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# f.write("{0},{1}\n".format(key,c[key]))
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for key, value in c.most_common(option_num):
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for key, value in c.most_common(option_num):
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# make possible pronounciation variant list.
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# make possible pronunciation variant list.
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pronvar_list = am_func.fame_pronunciation_variant(key)
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pronvar_list = am_func.fame_pronunciation_variant(key)
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for pronvar_ in pronvar_list:
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for pronvar_ in pronvar_list:
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@ -37,11 +37,15 @@
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# Aki Kunikoshi
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# Aki Kunikoshi
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# 428968@gmail.com
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# 428968@gmail.com
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#
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#
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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 argparse
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import argparse
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import json
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import json
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from novoapi.backend import session
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from novoapi.backend import session
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import novoapi_functions
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import novoapi_functions
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import defaultfiles as default
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# username / password cannot be passed as artuments...
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# username / password cannot be passed as artuments...
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p = argparse.ArgumentParser()
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p = argparse.ArgumentParser()
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@ -51,68 +55,11 @@ p.add_argument("--user", default='martijn.wieling')
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p.add_argument("--password", default='fa0Thaic')
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p.add_argument("--password", default='fa0Thaic')
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args = p.parse_args()
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args = p.parse_args()
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wav_file = 'c:\\OneDrive\\WSL\\test\\onetwothree.wav'
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#wav_file = 'c:\\OneDrive\\WSL\\test\\onetwothree.wav'
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wav_file = os.path.join(default.stimmen_wav_dir, 'pg_pauw_2206_0fjd8.wav')
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rec = session.Recognizer(grammar_version="1.0", lang="nl", snodeid=101, user=args.user, password=args.password, keepopen=True) # , modeldir=modeldir)
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grammar = {
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"type": "confusion_network",
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"version": "1.0",
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"data": {
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"kind": "sequence",
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"elements": [{
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"kind": "word",
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"pronunciation": [{
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"phones": ["wv",
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"a1",
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"n"],
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"id": 0
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},
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{
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"phones": ["wv",
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"uh1",
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"n"],
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"id": 1
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}],
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"label": "one"
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},
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{
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"kind": "word",
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"pronunciation": [{
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"phones": ["t",
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"uw1"],
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"id": 0
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}],
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"label": "two"
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},
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{
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"kind": "word",
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"pronunciation": [{
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"phones": ["t",
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"r",
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"iy1"],
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"id": 0
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},
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{
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"phones": ["s",
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"r",
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"iy1"],
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"id": 1
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}],
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"label": "three"
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}]
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},
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"return_objects": ["grammar"],
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"phoneset": "novo70"
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}
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res = rec.setgrammar(grammar)
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#print "Set grammar result", res
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#res = rec.recognize_wav("test/onetwothree.wav")
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res = rec.recognize_wav(wav_file)
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#print "Recognition result:", json.dumps(res.export(), indent=4)
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# list of the pronunciation for each words
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# list of the pronunciation for each words
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word = 'pauw'
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word = 'pauw'
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pronunciation_ipa = ['pau', 'pɑu']
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pronunciation_ipa = ['pau', 'pɑu']
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grammar = novoapi_functions.make_grammar(word, pronunciation_ipa)
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result = novoapi_functions.forced_alignment(wav_file, word, pronunciation_ipa)
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pronunciation_ipa, pronunciation_novo70, llh = novoapi_functions.result2pronunciation(result, word)
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@ -1,7 +1,14 @@
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## this script should be used only by Aki Kunikoshi.
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import numpy as np
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import numpy as np
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import argparse
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import json
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from novoapi.backend import session
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import defaultfiles as default
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import defaultfiles as default
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def load_phonset():
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def load_phonset():
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translation_key_ipa2novo70 = dict()
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translation_key_ipa2novo70 = dict()
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translation_key_novo702ipa = dict()
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translation_key_novo702ipa = dict()
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@ -112,7 +119,7 @@ def make_grammar(word, pronunciation_ipa):
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grammer_data_elements0_pronunciation = []
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grammer_data_elements0_pronunciation = []
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for id, ipa in enumerate(pronunciation_ipa):
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for id, ipa in enumerate(pronunciation_ipa):
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novo70 = novoapi_functions.ipa2novo70(ipa)
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novo70 = ipa2novo70(ipa)
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grammer_data_elements0_pronunciation.append({
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grammer_data_elements0_pronunciation.append({
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"phones": novo70.split(),
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"phones": novo70.split(),
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"id": id
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"id": id
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@ -136,3 +143,31 @@ def make_grammar(word, pronunciation_ipa):
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}
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}
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return grammar
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return grammar
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def forced_alignment(wav_file, word, pronunciation_ipa):
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### IMPORTANT ###
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# because of this function, this script should not be uploaded / shared.
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# username / password cannot be passed as artuments...
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p = argparse.ArgumentParser()
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p.add_argument("--user", default='martijn.wieling')
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p.add_argument("--password", default='fa0Thaic')
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args = p.parse_args()
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rec = session.Recognizer(grammar_version="1.0", lang="nl", snodeid=101, user=args.user, password=args.password, keepopen=True) # , modeldir=modeldir)
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grammar = make_grammar(word, pronunciation_ipa)
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result = rec.setgrammar(grammar)
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#print "Set grammar result", res
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result = rec.recognize_wav(wav_file)
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return result.export()
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def result2pronunciation(result, word):
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result_ = [result[i] for i in range(len(result)) if result[i]['label'] == word]
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llh = result_[0]['llh']
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phones = result_[0]['phones']
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pronunciation_novo70 = [phone['label'] for phone in phones]
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pronunciation_ipa = [novo702ipa(phone) for phone in pronunciation_novo70]
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return pronunciation_ipa, pronunciation_novo70, llh
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