diff --git a/.vs/acoustic_model/v15/.suo b/.vs/acoustic_model/v15/.suo
index 76815aa..f3153d3 100644
Binary files a/.vs/acoustic_model/v15/.suo and b/.vs/acoustic_model/v15/.suo differ
diff --git a/acoustic_model/acoustic_model.pyproj b/acoustic_model/acoustic_model.pyproj
index 487d08f..260ce6a 100644
--- a/acoustic_model/acoustic_model.pyproj
+++ b/acoustic_model/acoustic_model.pyproj
@@ -4,7 +4,7 @@
2.0
4d8c8573-32f0-4a62-9e62-3ce5cc680390
.
- fame_hmm.py
+ check_novoapi.py
.
diff --git a/acoustic_model/check_novoapi.py b/acoustic_model/check_novoapi.py
index 2a3ae59..1c3e34d 100644
--- a/acoustic_model/check_novoapi.py
+++ b/acoustic_model/check_novoapi.py
@@ -29,48 +29,47 @@ forced_alignment_novo70 = True
## ===== load novo phoneset =====
-phoneset_ipa, phoneset_novo70, translation_key_ipa2novo70, translation_key_novo702ipa = novoapi_functions.load_phonset()
+phoneset_ipa, phoneset_novo70, translation_key_ipa2novo70, translation_key_novo702ipa = novoapi_functions.load_novo70_phoneset()
## ===== extract pronunciations written in novo70 only (not_in_novo70) =====
-# As per Nederlandse phoneset_aki.xlsx recieved from David
-# [ɔː] oh / ohr
-# [ɪː] ih / ihr
-# [iː] iy
-# [œː] uh
-# [ɛː] eh
-# [w] wv in IPA written as ʋ.
-david_suggestion = ['ɔː', 'ɪː', 'iː', 'œː', 'ɛː', 'w']
+
## read pronunciation variants.
-stimmen_transcription_ = pd.ExcelFile(default.stimmen_transcription_xlsx)
-df = pd.read_excel(stimmen_transcription_, 'frequency')
-transcription_ipa = list(df['IPA'])
+#stimmen_transcription_ = pd.ExcelFile(default.stimmen_transcription_xlsx)
+#df = pd.read_excel(stimmen_transcription_, 'frequency')
+#transcription_ipa = list(df['IPA'])
-# transcription mistake?
-transcription_ipa = [ipa.replace(';', 'ː') for ipa in transcription_ipa if not ipa=='pypɪl' and not pd.isnull(ipa)]
-transcription_ipa = [ipa.replace('ˑ', '') for ipa in transcription_ipa] # only one case.
-not_in_novo70 = []
-all_in_novo70 = []
-for ipa in transcription_ipa:
- ipa = ipa.replace(':', 'ː')
- ipa = convert_phone_set.split_ipa(ipa)
+stimmen_test_dir = r'c:\OneDrive\Research\rug\_data\stimmen_test'
+df = stimmen_functions.load_transcriptions_novo70(stimmen_test_dir)
- # list of phones not in novo70 phoneset.
- not_in_novo70_ = [phone for phone in ipa
- if not phone in phoneset_ipa and not phone in david_suggestion]
- not_in_novo70_ = [phone.replace('sp', '') for phone in not_in_novo70_]
- not_in_novo70_ = [phone.replace(':', '') for phone in not_in_novo70_]
- not_in_novo70_ = [phone.replace('ː', '') for phone in not_in_novo70_]
+
- if len(not_in_novo70_) == 0:
- all_in_novo70.append(''.join(ipa))
+## transcription mistake?
+#transcription_ipa = [ipa.replace(';', 'ː') for ipa in transcription_ipa if not ipa=='pypɪl' and not pd.isnull(ipa)]
+#transcription_ipa = [ipa.replace('ˑ', '') for ipa in transcription_ipa] # only one case.
- #translation_key.get(phone, phone)
- not_in_novo70.extend(not_in_novo70_)
-not_in_novo70_list = list(set(not_in_novo70))
+#not_in_novo70 = []
+#all_in_novo70 = []
+#for ipa in transcription_ipa:
+# ipa = ipa.replace(':', 'ː')
+# ipa = convert_phone_set.split_ipa(ipa)
+
+# # list of phones not in novo70 phoneset.
+# not_in_novo70_ = [phone for phone in ipa
+# if not phone in phoneset_ipa and not phone in david_suggestion]
+# not_in_novo70_ = [phone.replace('sp', '') for phone in not_in_novo70_]
+# not_in_novo70_ = [phone.replace(':', '') for phone in not_in_novo70_]
+# not_in_novo70_ = [phone.replace('ː', '') for phone in not_in_novo70_]
+
+# if len(not_in_novo70_) == 0:
+# all_in_novo70.append(''.join(ipa))
+
+# #translation_key.get(phone, phone)
+# not_in_novo70.extend(not_in_novo70_)
+#not_in_novo70_list = list(set(not_in_novo70))
## check which phones used in stimmen but not in novo70
@@ -85,41 +84,43 @@ not_in_novo70_list = list(set(not_in_novo70))
# [ʊ] 'ʊ'(1) --> can be ʏ (uh)??
# [χ] --> can be x??
-def search_phone_ipa(x, phone_list):
- x_in_item = []
- for ipa in phone_list:
- ipa_original = ipa
- ipa = ipa.replace(':', 'ː')
- ipa = convert_phone_set.split_ipa(ipa)
- if x in ipa and not x+':' in ipa:
- x_in_item.append(ipa_original)
- return x_in_item
+#def search_phone_ipa(x, phone_list):
+# x_in_item = []
+# for ipa in phone_list:
+# ipa_original = ipa
+# ipa = ipa.replace(':', 'ː')
+# ipa = convert_phone_set.split_ipa(ipa)
+# if x in ipa and not x+':' in ipa:
+# x_in_item.append(ipa_original)
+# return x_in_item
#search_phone_ipa('ø', transcription_ipa)
## ===== load all transcriptions (df) =====
-df = stimmen_functions.load_transcriptions()
+#df = stimmen_functions.load_transcriptions()
word_list = [i for i in list(set(df['word'])) if not pd.isnull(i)]
word_list = sorted(word_list)
## check frequency of each pronunciation variants
-cols = ['word', 'ipa', 'frequency']
-df_samples = pd.DataFrame(index=[], columns=cols)
-for ipa in all_in_novo70:
- ipa = ipa.replace('ː', ':')
- samples = df[df['ipa'] == ipa]
- word = list(set(samples['word']))[0]
- samples_Series = pd.Series([word, ipa, len(samples)], index=df_samples.columns)
- df_samples = df_samples.append(samples_Series, ignore_index=True)
+#cols = ['word', 'ipa', 'frequency']
+#df_samples = pd.DataFrame(index=[], columns=cols)
+#for ipa in all_in_novo70:
+# ipa = ipa.replace('ː', ':')
+# samples = df[df['ipa'] == ipa]
+# word = list(set(samples['word']))[0]
+# samples_Series = pd.Series([word, ipa, len(samples)], index=df_samples.columns)
+# df_samples = df_samples.append(samples_Series, ignore_index=True)
# each word
-df_per_word = pd.DataFrame(index=[], columns=df_samples.keys())
+#df_per_word = pd.DataFrame(index=[], columns=df_samples.keys())
-for word in word_list:
- df_samples_ = df_samples[df_samples['word']==word]
- df_samples_ = df_samples_[df_samples_['frequency']>2]
- df_per_word = df_per_word.append(df_samples_, ignore_index=True)
+#for word in word_list:
+word = word_list[2]
+df_ = df[df['word']==word]
+np.unique(list(df_['ipa']))
+ #df_samples_ = df_samples_[df_samples_['frequency']>2]
+ #df_per_word = df_per_word.append(df_samples_, ignore_index=True)
#df_per_word.to_excel(os.path.join(default.stimmen_dir, 'pronunciation_variants_novo70.xlsx'), encoding="utf-8")
diff --git a/acoustic_model/fame_functions.py b/acoustic_model/fame_functions.py
index dbb8487..77fd931 100644
--- a/acoustic_model/fame_functions.py
+++ b/acoustic_model/fame_functions.py
@@ -352,9 +352,6 @@ def fix_lexicon(lexicon_file):
return
-#def add_sp_to_lexicon(lexicon_file):
-
-
def word2htk(word):
return ''.join([fame_asr.translation_key_word2htk.get(i, i) for i in word])
diff --git a/acoustic_model/novoapi_functions.py b/acoustic_model/novoapi_functions.py
index 120413e..000eee4 100644
--- a/acoustic_model/novoapi_functions.py
+++ b/acoustic_model/novoapi_functions.py
@@ -174,6 +174,8 @@ def forced_alignment(wav_file, word, pronunciation_ipa):
p.add_argument("--user", default='martijn.wieling')
p.add_argument("--password", default='xxxxxx')
+
+
args = p.parse_args()
rec = session.Recognizer(grammar_version="1.0", lang="nl", snodeid=101, user=args.user, password=args.password, keepopen=True) # , modeldir=modeldir)
@@ -194,6 +196,24 @@ def result2pronunciation(result, word):
return pronunciation_ipa, pronunciation_novo70, llh
+def phones_not_in_novo70(ipa):
+ """ extract phones which is not in novo70 phoneset. """
+
+ phoneset_ipa, _, _, _ = load_novo70_phoneset()
+
+ # As per Nederlandse phoneset_aki.xlsx recieved from David
+ # [ɔː] oh / ohr
+ # [ɪː] ih / ihr
+ # [iː] iy
+ # [œː] uh
+ # [ɛː] eh
+ # [w] wv in IPA written as ʋ.
+ david_suggestion = ['ɔː', 'ɪː', 'iː', 'œː', 'ɛː', 'w']
+
+ return [phone for phone in split_ipa(ipa)
+ if not phone in phoneset_ipa and not phone in david_suggestion]
+
+
if __name__ == 'main':
pronunciation_ipa = ['rø:s', 'mɑn', 'mɑntsjə']
#grammar = make_grammar('reus', pronunciation_ipa)
diff --git a/acoustic_model/stimmen_functions.py b/acoustic_model/stimmen_functions.py
index cfdac62..ccbc6e7 100644
--- a/acoustic_model/stimmen_functions.py
+++ b/acoustic_model/stimmen_functions.py
@@ -7,6 +7,7 @@ import pandas as pd
import convert_xsampa2ipa
import defaultfiles as default
import fame_functions
+import novoapi_functions
def _load_transcriptions():
@@ -67,6 +68,19 @@ def load_transcriptions_clean(clean_wav_dir):
return df_clean
+def load_transcriptions_novo70(clean_wav_dir):
+ """ extract rows of which ipa is written in novo70 phonset. """
+ df = load_transcriptions_clean(clean_wav_dir)
+
+ df_novo70 = pd.DataFrame(index=[], columns=list(df.keys()))
+ for index, row in df.iterrows():
+ not_in_novo70 = novoapi_functions.phones_not_in_novo70(row['ipa'])
+ if len(not_in_novo70) == 0:
+ df_novo70 = df_novo70.append(row, ignore_index=True)
+
+ return df_novo70
+
+
def add_row_htk(df):
""" df['htk'] is made from df['ipa'] and added. """
htk = []