when convert_xsampa2ipa.conversion is used, '/' is recognized as escape sequence. to fix this bug, xsampa2ipa function is made.

acoustic_model/acoustic_model.pyproj

@@ -4,7 +4,7 @@
     <SchemaVersion>2.0</SchemaVersion>
     <ProjectGuid>4d8c8573-32f0-4a62-9e62-3ce5cc680390</ProjectGuid>
     <ProjectHome>.</ProjectHome>
-    <StartupFile>performance_check.py</StartupFile>
+    <StartupFile>phone_conversion_check.py</StartupFile>
     <SearchPath>
     </SearchPath>
     <WorkingDirectory>.</WorkingDirectory>
@@ -31,7 +31,7 @@
     <Compile Include="performance_check.py">
       <SubType>Code</SubType>
     </Compile>
-    <Compile Include="pyKaldi.py">
+    <Compile Include="phone_conversion_check.py">
       <SubType>Code</SubType>
     </Compile>
   </ItemGroup>

acoustic_model/phone_conversion_check.py

@@ -0,0 +1,54 @@
+import os
+os.chdir(r'C:\Users\Aki\source\repos\acoustic_model\acoustic_model')
+
+import sys
+
+import pandas as pd
+
+
+## ======================= user define =======================
+
+forced_alignment_module     = r'C:\Users\Aki\source\repos\forced_alignment'
+ipa_xsampa_converter_dir    = r'C:\Users\Aki\source\repos\ipa-xsama-converter'
+
+experiments_dir = r'c:\OneDrive\Research\rug\experiments'
+excel_file = experiments_dir + '\\stimmen\\data\\Frisian Variants Picture Task Stimmen.xlsx'
+
+
+## ======================= add paths =======================
+
+sys.path.append(forced_alignment_module)
+from forced_alignment import convert_phone_set
+
+import convert_xsampa2ipa
+
+
+xls = pd.ExcelFile(excel_file)
+df = pd.read_excel(xls, 'frequency')
+
+mapping = convert_xsampa2ipa.load_converter('xsampa', 'ipa', ipa_xsampa_converter_dir)
+
+def xsampa2ipa(mapping, xsampa):
+    # make a multi_character_list to split 'xsampa'.
+    multi_character_list = []
+    for i in list(mapping):
+        if len(i) > 1:
+            multi_character_list.append(i)
+    
+    # conversion
+    ipa = []
+    for phone in convert_phone_set.multi_character_tokenize(xsampa, multi_character_list):
+        ipa.append(mapping.get(phone, phone))
+    ipa = ''.join(ipa)
+
+    # strange conversion.
+    ipa = ipa.replace('ɡ', 'g')
+    
+    return ipa 
+
+
+for xsampa, ipa in zip(df['X-SAMPA'], df['IPA']):
+    #ipa_converted = convert_xsampa2ipa.conversion('xsampa', 'ipa', mapping, xsampa_)
+    ipa_converted = xsampa2ipa(mapping, xsampa)
+    if not ipa_converted == ipa:
+        print('{0}: {1} - {2}'.format(xsampa_, ipa_converted, ipa))

acoustic_model/pyKaldi.py

@@ -1,26 +0,0 @@
-import os
-import sys
-
-forced_alignment_module = r'C:\Users\Aki\source\repos\forced_alignment'
-
-## ======================= add paths =======================
-
-sys.path.append(forced_alignment_module)
-from forced_alignment import convert_phone_set
-
-
-htk_dict_file = r'C:\OneDrive\Research\rug\experiments\stimmen\dic_top3\Reus.dic'
-#kaldi_lexicon = r'C:\OneDrive\WSL\kaldi-trunk\egs\fame\s5\data\lang\phones\'
-alignment_txt = r'C:\OneDrive\WSL\kaldi-trunk\egs\fame\s5\exp\tri1_alignme\merged_alignment.txt'
-phones_txt    = r'C:\OneDrive\WSL\kaldi-trunk\egs\fame\s5\exp\tri1_alignme\phones.txt'
-phone_map_txt = r'C:\OneDrive\WSL\kaldi-trunk\egs\fame\s5\data\local\lang\phone_map.txt'
-
-with open(phone_map_txt, 'r', encoding="utf-8") as f:
-    lines = f.read()
-    lines = lines.split('\n')
-
-with open(alignment_txt, 'r', encoding="utf-8") as f:
-    lines = 
-#phone_in = [line for line in lines if 'SIL' in line]
-#if len(phone_in) == 1:
-