novoapi_functions is added to novo70 specific functions.

acoustic_model/acoustic_model.pyproj

@@ -35,12 +35,15 @@
     <Compile Include="fa_test.py">
       <SubType>Code</SubType>
     </Compile>
-    <Compile Include="forced_alignment_novo.py">
+    <Compile Include="novoapi_forced_alignment.py">
       <SubType>Code</SubType>
     </Compile>
     <Compile Include="htk_vs_kaldi.py">
       <SubType>Code</SubType>
     </Compile>
+    <Compile Include="novoapi_functions.py">
+      <SubType>Code</SubType>
+    </Compile>
   </ItemGroup>
   <ItemGroup>
     <Content Include="config.ini" />

acoustic_model/check_novoapi.py

@@ -19,35 +19,10 @@ import defaultfiles as default
 from forced_alignment import pyhtk, convert_phone_set
 
 import novoapi 
-
+import novoapi_functions
 
 ## ======================= novo phoneset ======================
-translation_key = dict()
-
-#phonelist_novo70_      = pd.ExcelFile(default.phonelist_novo70_xlsx)
-#df = pd.read_excel(phonelist_novo70_, 'list')
-## *_simple includes columns which has only one phone in.
-#for ipa, novo70 in zip(df['IPA_simple'], df['novo70_simple']):
-#    if not pd.isnull(ipa):
-#        print('{0}:{1}'.format(ipa, novo70))
-#        translation_key[ipa] = novo70
-#phonelist_novo70 = np.unique(list(df['novo70_simple']))
-
-phoneset_ipa = []
-phoneset_novo70 = []
-with open(default.novo70_phoneset, "rt", encoding="utf-8") as fin:
-	lines = fin.read()
-	lines = lines.split('\n')
-	for line in lines:
-		words = line.split('\t')
-		if len(words) > 1:
-			novo70 = words[0]
-			ipa	   = words[1]
-			phoneset_ipa.append(ipa)
-			phoneset_novo70.append(novo70)
-			translation_key[ipa] = novo70
-phoneset_ipa    = np.unique(phoneset_ipa)
-phoneset_novo70 = np.unique(phoneset_novo70)
+phoneset_ipa, phoneset_novo70, translation_key = novoapi_functions.load_phonset()
 
 # As per Nederlandse phoneset_aki.xlsx recieved from David
 # [ɔː] oh / ohr

acoustic_model/novoapi_forced_alignment.py

@@ -41,6 +41,7 @@ import argparse
 import json
 
 from novoapi.backend import session
+import novoapi_functions
 
 # username / password cannot be passed as artuments...
 p = argparse.ArgumentParser()
@@ -110,3 +111,8 @@ res = rec.setgrammar(grammar)
 #res = rec.recognize_wav("test/onetwothree.wav")
 res = rec.recognize_wav(wav_file)
 #print "Recognition result:", json.dumps(res.export(), indent=4)
+
+# list of the pronunciation for each words
+word = 'pauw'
+pronunciation_ipa = ['pau', 'pɑu']
+grammar = novoapi_functions.make_grammar(word, pronunciation_ipa)

acoustic_model/novoapi_functions.py

@@ -0,0 +1,138 @@
+import numpy as np
+
+import defaultfiles as default
+
+def load_phonset():
+	translation_key_ipa2novo70 = dict()
+	translation_key_novo702ipa = dict()
+
+	#phonelist_novo70_      = pd.ExcelFile(default.phonelist_novo70_xlsx)
+	#df = pd.read_excel(phonelist_novo70_, 'list')
+	## *_simple includes columns which has only one phone in.
+	#for ipa, novo70 in zip(df['IPA_simple'], df['novo70_simple']):
+	#    if not pd.isnull(ipa):
+	#        print('{0}:{1}'.format(ipa, novo70))
+	#        translation_key[ipa] = novo70
+	#phonelist_novo70 = np.unique(list(df['novo70_simple']))
+
+	phoneset_ipa = []
+	phoneset_novo70 = []
+	with open(default.novo70_phoneset, "rt", encoding="utf-8") as fin:
+		lines = fin.read()
+		lines = lines.split('\n')
+		for line in lines:
+			words = line.split('\t')
+			if len(words) > 1:
+				novo70 = words[0]
+				ipa	   = words[1]
+				phoneset_ipa.append(ipa)
+				phoneset_novo70.append(novo70)
+				translation_key_ipa2novo70[ipa] = novo70
+				translation_key_novo702ipa[novo70] = ipa
+	phoneset_ipa    = np.unique(phoneset_ipa)
+	phoneset_novo70 = np.unique(phoneset_novo70)
+
+	return phoneset_ipa, phoneset_novo70, translation_key_ipa2novo70, translation_key_novo702ipa
+
+
+def multi_character_tokenize(line, multi_character_tokens):
+	"""
+	Tries to match one of the tokens in multi_character_tokens at each position of line, 
+	starting at position 0,
+	if so tokenizes and eats that token. Otherwise tokenizes a single character.
+
+	Copied from forced_alignment.convert_phone_set.py
+	"""
+	while line != '':
+		for token in multi_character_tokens:
+			if line.startswith(token) and len(token) > 0:
+				yield token
+				line = line[len(token):]
+				break
+		else:
+			yield line[:1]
+			line = line[1:]
+
+
+def split_ipa(line):
+	"""
+	Split a line by IPA phones.
+	If nasalized sound (such as ɛ̃ː) is included, it will give error.
+	:param string line: one line written in IPA.
+	:return string lineSeperated: the line splitted in IPA phone. 
+	"""
+
+	multi_character_phones = [
+		# IPAs in CGN.
+		u'ʌu', u'ɛi', u'œy', u'aː', u'eː', u'iː', u'oː', u'øː', u'ɛː', u'œː', u'ɔː', u'ɛ̃ː', u'ɑ̃ː', u'ɔ̃ː', u'œ̃', u'ɪː'
+		]
+
+	return [phone for phone in multi_character_tokenize(line.strip(), multi_character_phones)]
+
+
+def split_novo70(line):
+	"""
+	Split a line by novo70 phones.
+	:param string line: one line written in novo70.
+	:return string lineSeperated: the line splitted by novo70 phones. 
+	"""
+	_, phoneset_novo70, _, _ = load_phonset()
+	multi_character_phones = [p for p in phoneset_novo70 if len(p) > 1]
+	multi_character_phones = sorted(multi_character_phones, key=len, reverse=True)
+
+	return ['sp' if phone == ' ' else phone
+			for phone in multi_character_tokenize(line.strip(), multi_character_phones)]
+
+
+def novo702ipa(tokens):
+	pronunciation = []
+	_, _, _, translation_key = load_phonset()
+	for phone in split_novo70(tokens):
+		pronunciation.append(translation_key.get(phone, phone))
+	return ' '.join(pronunciation)
+
+
+# numbering of novo70 should be checked.
+def ipa2novo70(tokens):
+	pronunciation = []
+	_, _, translation_key, _ = load_phonset()
+	for phone in split_ipa(tokens):
+		pronunciation.append(translation_key.get(phone, phone))
+	return ' '.join(pronunciation)
+	
+
+def make_grammar(word, pronunciation_ipa):
+	"""
+	Args:
+		words
+		pronunciation_ipa: list of pronunciation variants.
+	"""
+	#word = 'pauw'
+	#pronunciation_ipa = ['pau', 'pɑu']
+
+	grammer_data_elements0_pronunciation = []
+	for id, ipa in enumerate(pronunciation_ipa):
+		novo70 = novoapi_functions.ipa2novo70(ipa)
+		grammer_data_elements0_pronunciation.append({
+			"phones": novo70.split(),
+			"id": id
+			})
+
+	grammar_data = {
+		"kind": 'sequence',
+		"elements": [{	
+			"kind": "word",
+			"pronunciation": grammer_data_elements0_pronunciation,
+			"label": word
+			}]
+		}
+
+	grammar = {
+		"type": "confusion_network",
+		"version": "1.0",
+		"data": grammar_data,
+		"return_objects": ["grammar"],
+		"phoneset": "novo70"
+		}
+
+	return grammar