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+73
-10
@@ -3,6 +3,9 @@
|
||||
pysle
|
||||
---------
|
||||
|
||||
.. image:: https://img.shields.io/badge/license-MIT-blue.svg?
|
||||
:target: http://opensource.org/licenses/MIT
|
||||
|
||||
Pronounced like 'p' + 'isle'.
|
||||
|
||||
An interface for the ILSEX (international speech lexicon) dictionary,
|
||||
@@ -28,7 +31,7 @@ What can you do with this library?
|
||||
- map an actual pronunciation to a dictionary pronunciation (can be used
|
||||
to automatically find speech errors)::
|
||||
|
||||
pysle.pronunciationtools.findClosestPronunciation(isleDict, 'cat', ['kh', 'ae',])
|
||||
pysle.pronunciationtools.findClosestPronunciation(isleDict, 'cat', ['k', 'æ',])
|
||||
|
||||
- automatically syllabify a praat textgrid containing words and phones
|
||||
(e.g. force-aligned text) -- requires my
|
||||
@@ -36,20 +39,57 @@ What can you do with this library?
|
||||
|
||||
pysle.syllabifyTextgrid(isleDict, praatioTextgrid, "words", "phones")
|
||||
|
||||
- search for words based on pronunciation::
|
||||
|
||||
e.g. Words that start with a sound, or have a sound word medially, or
|
||||
in stressed vowel position, etc.
|
||||
|
||||
see /tests/dictionary_search.py
|
||||
|
||||
Major revisions
|
||||
================
|
||||
|
||||
Ver 1.4 (July 9, 2016)
|
||||
|
||||
- added search functionality
|
||||
|
||||
- ported code to use the new unicode IPA-based isledict
|
||||
(the old one was ascii)
|
||||
|
||||
Ver 1.3 (March 15, 2016)
|
||||
|
||||
- added indicies for stressed vowels
|
||||
|
||||
Ver 1.2 (June 20, 2015)
|
||||
|
||||
- Python 3.x support
|
||||
|
||||
Ver 1.1 (January 30, 2015)
|
||||
|
||||
- word lookup ~65 times faster
|
||||
|
||||
Ver 1.0 (October 23, 2014)
|
||||
|
||||
- first public release.
|
||||
|
||||
|
||||
Requirements
|
||||
================
|
||||
|
||||
- Before you use this library (before or after installing it) you will need
|
||||
to download the ILSEX dictionary. It can be downloaded here:
|
||||
to download the ILSEX dictionary. It can be downloaded here under the
|
||||
section 'English' linked under the text 'English Pronlex'
|
||||
(with a file name of ISLEdict.txt):
|
||||
|
||||
`ISLEX project page <http://www.isle.illinois.edu/sst/data/dict/>`_
|
||||
`ISLEX project page <http://isle.illinois.edu/sst/data/g2ps/>`_
|
||||
|
||||
`Direct link to the ISLEX file used in this project
|
||||
<http://www.isle.illinois.edu/sst/data/dict/islev2.txt)>`_ (islev2.txt)
|
||||
<http://isle.illinois.edu/sst/data/g2ps/English/ISLEdict.txt>`_ (ISLEdict.txt)
|
||||
|
||||
- ``Python 2.7.*`` or above
|
||||
|
||||
- ``Python 3.3.*`` or above
|
||||
|
||||
- The `praatIO <https://github.com/timmahrt/praatIO>`_ library is required IF
|
||||
you want to use the textgrid functionality. It is not required
|
||||
for normal use.
|
||||
@@ -58,10 +98,12 @@ Requirements
|
||||
Installation
|
||||
================
|
||||
|
||||
From a command-line shell, navigate to the directory this is located in
|
||||
and type::
|
||||
If you on Windows, you can use the installer found here (check that it is up to date though)
|
||||
`Windows installer <http://www.timmahrt.com/python_installers>`_
|
||||
|
||||
python setup.py install
|
||||
Otherwise, to manually install, after downloading the source from github, from a command-line shell, navigate to the directory containing setup.py and type::
|
||||
|
||||
python setup.py install
|
||||
|
||||
If python is not in your path, you'll need to enter the full path e.g.::
|
||||
|
||||
@@ -76,7 +118,7 @@ Here is a typical common usage::
|
||||
from pysle import isle
|
||||
isleDict = isle.LexicalTool('C:\islev2.dict')
|
||||
print isleDict.lookup('catatonic')[0] # Get the first pronunciation
|
||||
>> [['kh', '@,'], ['t_(', '&'], ['th', "A'"], ['n', 'I', 'kh']] [2]
|
||||
>> [['k', 'ˌæ'], ['t˺', 'ə'], ['t', 'ˈɑ'], ['n', 'ɪ', 'k']] [2, 0]
|
||||
|
||||
and another::
|
||||
|
||||
@@ -84,7 +126,7 @@ and another::
|
||||
from psyle import pronunciationTools
|
||||
|
||||
searchWord = 'another'
|
||||
anotherPhoneList = ['n', '@', 'th', 'r'] # Actually produced
|
||||
anotherPhoneList = ['n', '@', 'th', 'r'] # Actually produced (ASCII or IPA ok here)
|
||||
|
||||
returnList = pronunciationTools.findBestSyllabification(isleDict,
|
||||
searchWord,
|
||||
@@ -93,5 +135,26 @@ and another::
|
||||
>> [["''"], ['n', '@'], ['th', 'r']]
|
||||
|
||||
|
||||
Please see \\test for example usage
|
||||
Please see \\examples for example usage
|
||||
|
||||
|
||||
Citing pysle
|
||||
===============
|
||||
|
||||
Pysle is general purpose coding and doesn't need to be cited
|
||||
(you should cite the
|
||||
`ISLEX project <http://isle.illinois.edu/sst/data/g2ps/>`_
|
||||
instead) but if you would like to, it can be cited like so:
|
||||
|
||||
Tim Mahrt. Pysle. https://github.com/timmahrt/pysle, 2016.
|
||||
|
||||
|
||||
Acknowledgements
|
||||
================
|
||||
|
||||
Development of Pysle was possible thanks to NSF grant **IIS 07-03624**
|
||||
to Jennifer Cole and Mark Hasegawa-Johnson, NSF grant **BCS 12-51343**
|
||||
to Jennifer Cole, José Hualde, and Caroline Smith, and
|
||||
to the A*MIDEX project (n° **ANR-11-IDEX-0001-02**) to James Sneed German
|
||||
funded by the Investissements d'Avenir French Government program, managed
|
||||
by the French National Research Agency (ANR).
|
||||
|
||||
+267
-35
@@ -1,45 +1,68 @@
|
||||
#encoding: utf-8
|
||||
'''
|
||||
Created on Oct 11, 2012
|
||||
|
||||
@author: timmahrt
|
||||
'''
|
||||
|
||||
import io
|
||||
import re
|
||||
|
||||
vowelList = ['a', '@', 'e', 'i', 'o', 'u', '^', '&', '>',]
|
||||
|
||||
charList = [u'#', u'.', u'aʊ', u'b', u'd', u'dʒ', u'ei', u'f', u'g',
|
||||
u'h', u'i', u'j', u'k', u'l', u'm', u'n', u'oʊ', u'p',
|
||||
u'r', u's', u't', u'tʃ', u'u', u'v', u'w', u'z', u'æ',
|
||||
u'ð', u'ŋ', u'ɑ', u'ɑɪ', u'ɔ', u'ɔi', u'ə', u'ɚ', u'ɛ', u'ɝ',
|
||||
u'ɪ', u'ɵ', u'ɹ', u'ʃ', u'ʊ', u'ʒ', u'æ', u'ʌ', ]
|
||||
|
||||
diacriticList = [u'˺', u'ˌ', u'̩', u'̃', ]
|
||||
|
||||
vowelList = [u'aʊ', u'ei', u'i', u'oʊ', u'u', u'æ',
|
||||
u'ɑ', u'ɑɪ', u'ɔ', u'ɔi', u'ə', u'ɚ', u'ɛ', u'ɝ',
|
||||
u'ɪ', u'ʊ', u'ʌ', ]
|
||||
|
||||
|
||||
def isVowel(char):
|
||||
return any([vowel in char for vowel in vowelList])
|
||||
|
||||
|
||||
def sequenceMatch(matchChar, searchStr):
|
||||
return matchChar in searchStr
|
||||
|
||||
|
||||
class WordNotInISLE(Exception):
|
||||
|
||||
def __init__(self, word):
|
||||
super(WordNotInISLE, self).__init__()
|
||||
self.word = word
|
||||
|
||||
def __str__(self):
|
||||
return "Word '%s' not in ISLE dictionary. Please add it to continue." % self.word
|
||||
return ("Word '%s' not in ISLE dictionary. "
|
||||
"Please add it to continue." % self.word)
|
||||
|
||||
|
||||
class LexicalTool():
|
||||
|
||||
|
||||
def __init__(self, islePath):
|
||||
self.islePath = islePath
|
||||
self.data = self._buildDict()
|
||||
|
||||
|
||||
def _buildDict(self):
|
||||
'''
|
||||
Builds the isle textfile into a dictionary for fast searching
|
||||
'''
|
||||
dict = {}
|
||||
wordList = open(self.islePath, "r").read().split("\n")
|
||||
lexDict = {}
|
||||
with io.open(self.islePath, "r", encoding='utf-8') as fd:
|
||||
wordList = [line.rstrip('\n') for line in fd]
|
||||
|
||||
for row in wordList:
|
||||
word, pronunciation = row.split(" ", 1)
|
||||
word = word.split("(")[0]
|
||||
|
||||
dict.setdefault(word, [])
|
||||
dict[word].append(pronunciation)
|
||||
lexDict.setdefault(word, [])
|
||||
lexDict[word].append(pronunciation)
|
||||
|
||||
return dict
|
||||
|
||||
return lexDict
|
||||
|
||||
def lookup(self, word):
|
||||
'''
|
||||
@@ -52,44 +75,253 @@ class LexicalTool():
|
||||
|
||||
pronList = self.data.get(word, None)
|
||||
|
||||
if pronList == None:
|
||||
if pronList is None:
|
||||
raise WordNotInISLE(word)
|
||||
else:
|
||||
pronList = [_parsePronunciation(pronunciationStr)
|
||||
pronList = [_parsePronunciation(pronunciationStr)
|
||||
for pronunciationStr in pronList]
|
||||
|
||||
return pronList
|
||||
|
||||
def search(self, matchStr, numSyllables=None, wordInitial='ok',
|
||||
wordFinal='ok', spanSyllable='ok', stressedSyllable='ok',
|
||||
multiword='ok'):
|
||||
return search(self.data.items(), matchStr, numSyllables=numSyllables,
|
||||
wordInitial=wordInitial, wordFinal=wordFinal,
|
||||
spanSyllable=spanSyllable,
|
||||
stressedSyllable=stressedSyllable,
|
||||
multiword=multiword)
|
||||
|
||||
|
||||
def _prepRESearchStr(matchStr, wordInitial='ok', wordFinal='ok',
|
||||
spanSyllable='ok', stressedSyllable='ok'):
|
||||
'''
|
||||
Prepares a user's RE string for a search
|
||||
'''
|
||||
|
||||
# Protect sounds that are two characters
|
||||
# After this we can assume that each character represents a sound
|
||||
# (We'll revert back when we're done processing the RE)
|
||||
replList = [(u'ei', u'9'), (u'tʃ', u'='), (u'oʊ', u'~'),
|
||||
(u'dʒ', u'@'), (u'aʊ', u'%'), (u'ɑɪ', u'&'),
|
||||
(u'ɔi', u'$')]
|
||||
|
||||
# Add to the replList
|
||||
currentReplNum = 0
|
||||
startI = 0
|
||||
for left, right in (('(', ')'), ('[', ']')):
|
||||
while True:
|
||||
try:
|
||||
i = matchStr.index(left, startI)
|
||||
except ValueError:
|
||||
break
|
||||
j = matchStr.index(right, i) + 1
|
||||
replList.append((matchStr[i:j], str(currentReplNum)))
|
||||
currentReplNum += 1
|
||||
startI = j
|
||||
|
||||
for charA, charB in replList:
|
||||
matchStr = matchStr.replace(charA, charB)
|
||||
|
||||
# Characters to check between all other characters
|
||||
# Don't check between all other characters if the character is already
|
||||
# in the search string or
|
||||
interleaveStr = None
|
||||
stressOpt = (stressedSyllable == 'ok' or stressedSyllable == 'only')
|
||||
spanOpt = (spanSyllable == 'ok' or spanSyllable == 'only')
|
||||
if stressOpt and spanOpt:
|
||||
interleaveStr = u"\.?ˈ?"
|
||||
elif stressOpt:
|
||||
interleaveStr = u"ˈ?"
|
||||
elif spanOpt:
|
||||
interleaveStr = u"\.?"
|
||||
|
||||
if interleaveStr is not None:
|
||||
matchStr = interleaveStr.join(matchStr)
|
||||
|
||||
# Setting search boundaries
|
||||
# We search on '[^\.#]' and not '.' so that the search doesn't span
|
||||
# multiple syllables or words
|
||||
if wordInitial == 'only':
|
||||
matchStr = u'#' + matchStr
|
||||
elif wordInitial == 'no':
|
||||
# Match the closest preceeding syllable. If there is none, look
|
||||
# for word boundary plus at least one other character
|
||||
matchStr = u'(?:\.[^\.#]*?|#[^\.#]+?)' + matchStr
|
||||
else:
|
||||
matchStr = u'[#\.][^\.#]*?' + matchStr
|
||||
|
||||
if wordFinal == 'only':
|
||||
matchStr = matchStr + u'#'
|
||||
elif wordFinal == 'no':
|
||||
matchStr = matchStr + u"(?:[^\.#]*?\.|[^\.#]+?#)"
|
||||
else:
|
||||
matchStr = matchStr + u'[^\.#]*?[#\.]'
|
||||
|
||||
# For sounds that are designated two characters, prevent
|
||||
# detecting those sounds if the user wanted a sound
|
||||
# designated by one of the contained characters
|
||||
|
||||
# Forward search ('a' and not 'ab')
|
||||
insertList = []
|
||||
for charA, charB in [(u'e', u'i'), (u't', u'ʃ'), (u'd', u'ʒ'),
|
||||
(u'o', u'ʊ'), (u'a', u'ʊ|ɪ'), (u'ɔ', u'i'), ]:
|
||||
startI = 0
|
||||
while True:
|
||||
try:
|
||||
i = matchStr.index(charA, startI)
|
||||
except ValueError:
|
||||
break
|
||||
if matchStr[i + 1] != charB:
|
||||
forwardStr = u'(?!%s)' % charB
|
||||
# matchStr = matchStr[:i + 1] + forwardStr + matchStr[i + 1:]
|
||||
startI = i + 1 + len(forwardStr)
|
||||
insertList.append((i + 1, forwardStr))
|
||||
|
||||
# Backward search ('b' and not 'ab')
|
||||
for charA, charB in [(u't', u'ʃ'), (u'd', u'ʒ'),
|
||||
(u'a|o', u'ʊ'), (u'e|ɔ', u'i'), (u'ɑ' u'ɪ'), ]:
|
||||
startI = 0
|
||||
while True:
|
||||
try:
|
||||
i = matchStr.index(charB, startI)
|
||||
except ValueError:
|
||||
break
|
||||
if matchStr[i - 1] != charA:
|
||||
backStr = u'(?<!%s)' % charA
|
||||
# matchStr = matchStr[:i] + backStr + matchStr[i:]
|
||||
startI = i + 1 + len(backStr)
|
||||
insertList.append((i, backStr))
|
||||
|
||||
insertList.sort()
|
||||
for i, insertStr in insertList[::-1]:
|
||||
matchStr = matchStr[:i] + insertStr + matchStr[i:]
|
||||
|
||||
# Revert the special sounds back from 1 character to 2 characters
|
||||
for charA, charB in replList:
|
||||
matchStr = matchStr.replace(charB, charA)
|
||||
|
||||
# Replace special characters
|
||||
replDict = {"D": u"(?:t(?!ʃ)|d(?!ʒ)|[sz])", # dentals
|
||||
"F": u"[ʃʒfvszɵðh]", # fricatives
|
||||
"S": u"(?:t(?!ʃ)|d(?!ʒ)|[pbkg])", # stops
|
||||
"N": u"[nmŋ]", # nasals
|
||||
"R": u"[rɝɚ]", # rhotics
|
||||
"V": u"(?:aʊ|ei|oʊ|ɑɪ|ɔi|[iuæɑɔəɛɪʊʌ]):?", # vowels
|
||||
"B": u"\.", # syllable boundary
|
||||
}
|
||||
|
||||
for char, replStr in replDict.items():
|
||||
matchStr = matchStr.replace(char, replStr)
|
||||
|
||||
return matchStr
|
||||
|
||||
|
||||
def search(searchList, matchStr, numSyllables=None, wordInitial='ok',
|
||||
wordFinal='ok', spanSyllable='ok', stressedSyllable='ok',
|
||||
multiword='ok'):
|
||||
'''
|
||||
Searches for matching words in the dictionary with regular expressions
|
||||
|
||||
wordInitial, wordFinal, spanSyllable, stressSyllable, and multiword
|
||||
can take three different values: 'ok', 'only', or 'no'.
|
||||
|
||||
Special search characters:
|
||||
'D' - any dental; 'F' - any fricative; 'S' - any stop
|
||||
'V' - any vowel; 'N' - any nasal; 'R' - any rhotic
|
||||
'#' - word boundary
|
||||
'B' - syllable boundary
|
||||
'.' - anything
|
||||
|
||||
For advanced queries:
|
||||
Regular expression syntax applies, so if you wanted to search for any
|
||||
word ending with a vowel or rhotic, matchStr = '(?:VR)#', '[VR]#', etc.
|
||||
'''
|
||||
# Run search for words
|
||||
|
||||
matchStr = _prepRESearchStr(matchStr, wordInitial, wordFinal,
|
||||
spanSyllable, stressedSyllable)
|
||||
|
||||
compiledRE = re.compile(matchStr)
|
||||
retList = []
|
||||
for word, pronList in searchList:
|
||||
newPronList = []
|
||||
for pron in pronList:
|
||||
searchPron = pron.replace(",", "").replace(" ", "")
|
||||
|
||||
# Ignore diacritics for now:
|
||||
for diacritic in diacriticList:
|
||||
if diacritic not in matchStr:
|
||||
searchPron = searchPron.replace(diacritic, "")
|
||||
|
||||
if numSyllables is not None:
|
||||
if numSyllables != searchPron.count('.') + 1:
|
||||
continue
|
||||
|
||||
# Is this a compound word?
|
||||
if multiword == 'only':
|
||||
if searchPron.count('#') == 2:
|
||||
continue
|
||||
elif multiword == 'no':
|
||||
if searchPron.count('#') > 2:
|
||||
continue
|
||||
|
||||
matchList = compiledRE.findall(searchPron)
|
||||
if len(matchList) > 0:
|
||||
if stressedSyllable == 'only':
|
||||
if all([u"ˈ" not in match for match in matchList]):
|
||||
continue
|
||||
if stressedSyllable == 'no':
|
||||
if all([u"ˈ" in match for match in matchList]):
|
||||
continue
|
||||
|
||||
# For syllable spanning, we check if there is a syllable
|
||||
# marker inside (not at the border) of the match.
|
||||
if spanSyllable == 'only':
|
||||
if all(["." not in txt[1:-1] for txt in matchList]):
|
||||
continue
|
||||
if spanSyllable == 'no':
|
||||
if all(["." in txt[1:-1] for txt in matchList]):
|
||||
continue
|
||||
newPronList.append(pron)
|
||||
|
||||
if len(newPronList) > 0:
|
||||
retList.append((word, newPronList))
|
||||
|
||||
retList.sort()
|
||||
return retList
|
||||
|
||||
|
||||
def _parsePronunciation(pronunciationStr):
|
||||
'''
|
||||
Parses the pronunciation string
|
||||
|
||||
Returns the list of syllables and a list of primary and
|
||||
secondary stress locations
|
||||
Returns the list of syllables and a list of primary and
|
||||
secondary stress locations
|
||||
'''
|
||||
syllableTxt = pronunciationStr.split("#")[1].strip()
|
||||
syllableList = [x for x in syllableTxt.split(' . ')]
|
||||
syllableList = [x.split() for x in syllableTxt.split(' . ')]
|
||||
|
||||
# Find stress
|
||||
stressList = []
|
||||
stressedSyllableList = []
|
||||
stressedPhoneList = []
|
||||
for i, syllable in enumerate(syllableList):
|
||||
# Primary stress
|
||||
if "'" in syllable:
|
||||
stressList.insert(0, i)
|
||||
# Secondary stress
|
||||
elif '"' in syllable:
|
||||
stressList.append(i)
|
||||
for j, phone in enumerate(syllable):
|
||||
if u"ˈ" in phone:
|
||||
stressedSyllableList.insert(0, i)
|
||||
stressedPhoneList.insert(0, j)
|
||||
break
|
||||
elif u'ˌ' in phone:
|
||||
stressedSyllableList.append(i)
|
||||
stressedPhoneList.append(j)
|
||||
|
||||
syllableList = [x.split(" ") for x in syllableList]
|
||||
|
||||
return syllableList, stressList
|
||||
return syllableList, stressedSyllableList, stressedPhoneList
|
||||
|
||||
|
||||
def getNumPhones(isleDict, label, maxFlag):
|
||||
'''
|
||||
|
||||
If maxFlag=True, use the longest pronunciation. Otherwise, take the
|
||||
If maxFlag=True, use the longest pronunciation. Otherwise, take the
|
||||
average length.
|
||||
'''
|
||||
phoneCount = 0
|
||||
@@ -99,25 +331,28 @@ def getNumPhones(isleDict, label, maxFlag):
|
||||
phoneListOfLists = isleDict.lookup(word)
|
||||
|
||||
syllableCountList = []
|
||||
for syllableList, stressIndex in phoneListOfLists:
|
||||
for row in phoneListOfLists:
|
||||
syllableList = row[0]
|
||||
syllableCountList.append(len(syllableList))
|
||||
|
||||
# In ISLE, there can be multiple pronunciations for each word
|
||||
# as we have no reason to believe one pronunciation is more
|
||||
# likely than another, we take the average of all of them
|
||||
phoneCountList = []
|
||||
for syllableList, stressIndex in phoneListOfLists:
|
||||
phoneCountList.append(len([phon for phoneList in syllableList for
|
||||
for row in phoneListOfLists:
|
||||
syllableList = row[0]
|
||||
phoneCountList.append(len([phon for phoneList in syllableList for
|
||||
phon in phoneList]))
|
||||
|
||||
# The average number of phones for all possible pronunciations
|
||||
# of this word
|
||||
if maxFlag == True:
|
||||
if maxFlag is True:
|
||||
syllableCount += max(syllableCountList)
|
||||
phoneCount += max(phoneCountList)
|
||||
else:
|
||||
syllableCount += sum(syllableCountList) / float(len(syllableCountList))
|
||||
phoneCount += sum(phoneCountList) / float(len(phoneCountList))
|
||||
syllableCount += (sum(syllableCountList) /
|
||||
float(len(syllableCountList)))
|
||||
phoneCount += sum(phoneCountList) / float(len(phoneCountList))
|
||||
|
||||
return syllableCount, phoneCount
|
||||
|
||||
@@ -137,6 +372,3 @@ def findOODWords(isleDict, wordList):
|
||||
oodList.sort()
|
||||
|
||||
return oodList
|
||||
|
||||
|
||||
|
||||
+52
-31
@@ -1,16 +1,18 @@
|
||||
#encoding: utf-8
|
||||
'''
|
||||
Created on Oct 22, 2014
|
||||
|
||||
@author: tmahrt
|
||||
'''
|
||||
|
||||
|
||||
class OptionalFeatureError(ImportError):
|
||||
|
||||
def __str__(self):
|
||||
return "ERROR: You must have praatio installed to use pysle.praatTools"
|
||||
|
||||
try:
|
||||
import praatio
|
||||
from praatio import tgio
|
||||
except ImportError:
|
||||
raise OptionalFeatureError()
|
||||
|
||||
@@ -18,7 +20,7 @@ from pysle import isletool
|
||||
from pysle import pronunciationtools
|
||||
|
||||
|
||||
def syllabifyTextgrid(isleDict, tg, wordTierName, phoneTierName,
|
||||
def syllabifyTextgrid(isleDict, tg, wordTierName, phoneTierName,
|
||||
skipLabelList=None):
|
||||
'''
|
||||
Given a textgrid, syllabifies the phones in the textgrid
|
||||
@@ -34,11 +36,12 @@ def syllabifyTextgrid(isleDict, tg, wordTierName, phoneTierName,
|
||||
wordTier = tg.tierDict[wordTierName]
|
||||
phoneTier = tg.tierDict[phoneTierName]
|
||||
|
||||
if skipLabelList == None:
|
||||
if skipLabelList is None:
|
||||
skipLabelList = []
|
||||
|
||||
syllableEntryList = []
|
||||
tonicEntryList = []
|
||||
tonicSEntryList = []
|
||||
tonicPEntryList = []
|
||||
for start, stop, word in wordTier.entryList:
|
||||
|
||||
if word in skipLabelList:
|
||||
@@ -46,28 +49,43 @@ def syllabifyTextgrid(isleDict, tg, wordTierName, phoneTierName,
|
||||
|
||||
subPhoneTier = phoneTier.crop(start, stop, True, False)[0]
|
||||
|
||||
phoneList = [phone for startP, endP, phone in subPhoneTier.entryList if phone != '']
|
||||
# entry = (start, stop, phone)
|
||||
phoneList = [entry[2] for entry in subPhoneTier.entryList
|
||||
if entry[2] != '']
|
||||
|
||||
try:
|
||||
returnList = pronunciationtools.findBestSyllabification(isleDict,
|
||||
word,
|
||||
returnList = pronunciationtools.findBestSyllabification(isleDict,
|
||||
word,
|
||||
phoneList)
|
||||
except isletool.WordNotInISLE:
|
||||
print "Word ('%s') not is isle -- skipping syllabification" % word
|
||||
print("Word ('%s') not is isle -- skipping syllabification" % word)
|
||||
continue
|
||||
except (pronunciationtools.NullPronunciationError):
|
||||
print "Word ('%s') has no provided pronunciation" % word
|
||||
print("Word ('%s') has no provided pronunciation" % word)
|
||||
continue
|
||||
|
||||
stressedSyllable, syllableList, syllabification, stressIndexList = returnList
|
||||
|
||||
syllableList = returnList[1]
|
||||
stressedSyllableIndexList = returnList[3]
|
||||
stressedPhoneIndexList = returnList[4]
|
||||
flattenedPhoneIndexList = returnList[5]
|
||||
|
||||
try:
|
||||
stressI = stressedSyllableIndexList[0]
|
||||
stressJ = stressedPhoneIndexList[0]
|
||||
except IndexError:
|
||||
stressI = None # Function word probably
|
||||
stressJ = None #
|
||||
|
||||
if stressI is not None:
|
||||
syllableList[stressI][stressJ] += u"ˈ"
|
||||
|
||||
i = 0
|
||||
# print syllableList
|
||||
# print(syllableList)
|
||||
for k, syllable in enumerate(syllableList):
|
||||
|
||||
# Create the syllable tier entry
|
||||
j = len(syllable)
|
||||
stubEntryList = subPhoneTier.entryList[i:i+j]
|
||||
stubEntryList = subPhoneTier.entryList[i:i + j]
|
||||
i += j
|
||||
|
||||
# The whole syllable was deleted
|
||||
@@ -76,29 +94,32 @@ def syllabifyTextgrid(isleDict, tg, wordTierName, phoneTierName,
|
||||
|
||||
syllableStart = stubEntryList[0][0]
|
||||
syllableEnd = stubEntryList[-1][1]
|
||||
label = "-".join([phone for start, end, phone in stubEntryList])
|
||||
label = "-".join([entry[2] for entry in stubEntryList])
|
||||
|
||||
syllableEntryList.append( (syllableStart, syllableEnd, label) )
|
||||
syllableEntryList.append((syllableStart, syllableEnd, label))
|
||||
|
||||
# Create the tonic tier entry
|
||||
try:
|
||||
stressIndex = stressIndexList[0]
|
||||
except IndexError:
|
||||
stressIndex = None # Function word probably
|
||||
|
||||
tonicLabel = ''
|
||||
if k == stressIndex:
|
||||
tonicLabel = 'T'
|
||||
|
||||
tonicEntryList.append( (syllableStart, syllableEnd, tonicLabel) )
|
||||
# Create the tonic syllable tier entry
|
||||
if k == stressI:
|
||||
tonicSEntryList.append((syllableStart, syllableEnd, 'T'))
|
||||
|
||||
# Create the tonic phone tier entry
|
||||
if k == stressI:
|
||||
syllablePhoneTier = phoneTier.crop(syllableStart, syllableEnd,
|
||||
True, False)[0]
|
||||
|
||||
phoneList = [entry for entry in syllablePhoneTier.entryList
|
||||
if entry[2] != '']
|
||||
phoneStart, phoneEnd = phoneList[stressJ][:2]
|
||||
tonicPEntryList.append((phoneStart, phoneEnd, 'T'))
|
||||
|
||||
# Create a textgrid with the two syllable-level tiers
|
||||
syllableTier = praatio.TextgridTier("syllable", syllableEntryList, praatio.INTERVAL_TIER)
|
||||
tonicTier = praatio.TextgridTier('tonic', tonicEntryList, praatio.INTERVAL_TIER)
|
||||
syllableTier = tgio.IntervalTier("syllable", syllableEntryList)
|
||||
tonicSTier = tgio.IntervalTier('tonicSyllable', tonicSEntryList)
|
||||
tonicPTier = tgio.IntervalTier('tonicVowel', tonicPEntryList)
|
||||
|
||||
syllableTG = praatio.Textgrid()
|
||||
syllableTG = tgio.Textgrid()
|
||||
syllableTG.addTier(syllableTier)
|
||||
syllableTG.addTier(tonicTier)
|
||||
syllableTG.addTier(tonicSTier)
|
||||
syllableTG.addTier(tonicPTier)
|
||||
|
||||
return syllableTG
|
||||
|
||||
|
||||
+56
-53
@@ -1,3 +1,4 @@
|
||||
#encoding: utf-8
|
||||
'''
|
||||
Created on Oct 15, 2014
|
||||
|
||||
@@ -9,10 +10,10 @@ import itertools
|
||||
from pysle import isletool
|
||||
|
||||
|
||||
|
||||
class NullPronunciationError(Exception):
|
||||
|
||||
def __init__(self, word):
|
||||
super(NullPronunciationError, self).__init__()
|
||||
self.word = word
|
||||
|
||||
def __str__(self):
|
||||
@@ -49,7 +50,7 @@ def _lcs(xs, ys):
|
||||
ll_b = _lcs_lens(xb, ys)
|
||||
ll_e = _lcs_lens(xe[::-1], ys[::-1])
|
||||
_, k = max((ll_b[j] + ll_e[ny - j], j)
|
||||
for j in range(ny + 1))
|
||||
for j in range(ny + 1))
|
||||
yb, ye = ys[:k], ys[k:]
|
||||
return _lcs(xb, yb) + _lcs(xe, ye)
|
||||
|
||||
@@ -58,14 +59,13 @@ def _prepPronunciation(phoneList):
|
||||
retList = []
|
||||
for phone in phoneList:
|
||||
if 'r' in phone:
|
||||
phone = ['r',]
|
||||
phone = ['r', ]
|
||||
try:
|
||||
phone = phone[0] # Only represent the str by its first letter
|
||||
phone = phone[0] # Only represent the string by its first letter
|
||||
phone = phone.lower()
|
||||
except IndexError:
|
||||
raise NullPhoneError()
|
||||
|
||||
phone = phone.lower()
|
||||
|
||||
if phone in isletool.vowelList:
|
||||
phone = 'V'
|
||||
retList.append(phone)
|
||||
@@ -85,14 +85,14 @@ def _adjustSyllabification(adjustedPhoneList, syllableList):
|
||||
retSyllableList = []
|
||||
for syllable in syllableList:
|
||||
j = len(syllable)
|
||||
tmpPhoneList = adjustedPhoneList[i:i+j]
|
||||
tmpPhoneList = adjustedPhoneList[i:i + j]
|
||||
numBlanks = -1
|
||||
phoneList = tmpPhoneList[:]
|
||||
while numBlanks != 0:
|
||||
|
||||
numBlanks = tmpPhoneList.count("''")
|
||||
if numBlanks > 0:
|
||||
tmpPhoneList = adjustedPhoneList[i+j:i+j+numBlanks]
|
||||
tmpPhoneList = adjustedPhoneList[i + j:i + j + numBlanks]
|
||||
phoneList.extend(tmpPhoneList)
|
||||
j += numBlanks
|
||||
|
||||
@@ -116,27 +116,32 @@ def _findBestPronunciation(isleDict, wordText, aPron):
|
||||
|
||||
isleWordList = isleDict.lookup(wordText)
|
||||
|
||||
aP = _prepPronunciation(aPron) # Mapping to simplified phone inventory
|
||||
aP = _prepPronunciation(aPron) # Mapping to simplified phone inventory
|
||||
|
||||
origPronDict = dict((newPron,oldPron) for newPron, oldPron in zip(aP, aPron))
|
||||
origPronDict = dict((newPron, oldPron)
|
||||
for newPron, oldPron in zip(aP, aPron))
|
||||
|
||||
numDiffList = []
|
||||
withStress = []
|
||||
i = 0
|
||||
alignedSyllabificationList = []
|
||||
alignedActualPronunciationList = []
|
||||
for syllableList, stressList in isleWordList:
|
||||
for wordTuple in isleWordList:
|
||||
syllableList = wordTuple[0] # syllableList, stressList
|
||||
|
||||
iP = [phone for phoneList in syllableList for phone in phoneList]
|
||||
iP = _prepPronunciation(iP)
|
||||
|
||||
alignedIP, alignedAP = alignPronunciations(iP, aP)
|
||||
alignedAP = [origPronDict.get(phon, "''") for phon in alignedAP] # Remapping to actual phones
|
||||
|
||||
# Remapping to actual phones
|
||||
alignedAP = [origPronDict.get(phon, "''") for phon in alignedAP]
|
||||
alignedActualPronunciationList.append(alignedAP)
|
||||
|
||||
# Adjusting the syllabification for differences between the dictionary
|
||||
# pronunciation and the actual pronunciation
|
||||
alignedSyllabification = _adjustSyllabification(alignedIP, syllableList)
|
||||
alignedSyllabification = _adjustSyllabification(alignedIP,
|
||||
syllableList)
|
||||
alignedSyllabificationList.append(alignedSyllabification)
|
||||
|
||||
# Count the number of misalignments between the two
|
||||
@@ -147,7 +152,7 @@ def _findBestPronunciation(isleDict, wordText, aPron):
|
||||
hasStress = False
|
||||
for syllable in syllableList:
|
||||
for phone in syllable:
|
||||
hasStress = "'" in phone or hasStress
|
||||
hasStress = u"ˈ" in phone or hasStress
|
||||
|
||||
if hasStress:
|
||||
withStress.append(i)
|
||||
@@ -164,16 +169,16 @@ def _findBestPronunciation(isleDict, wordText, aPron):
|
||||
for i, numDiff in enumerate(numDiffList):
|
||||
if numDiff != minDiff:
|
||||
continue
|
||||
if bestIndex == None:
|
||||
if bestIndex is None:
|
||||
bestIndex = i
|
||||
bestIsStressed = i in withStress
|
||||
else:
|
||||
if not bestIsStressed and i in withStress:
|
||||
bestIndex = i
|
||||
bestIsStressed = True
|
||||
|
||||
|
||||
return isleWordList, alignedActualPronunciationList, alignedSyllabificationList, bestIndex
|
||||
return (isleWordList, alignedActualPronunciationList,
|
||||
alignedSyllabificationList, bestIndex)
|
||||
|
||||
|
||||
def _syllabifyPhones(phoneList, syllableList, isleStressList):
|
||||
@@ -193,9 +198,9 @@ def _syllabifyPhones(phoneList, syllableList, isleStressList):
|
||||
|
||||
start = 0
|
||||
syllabifiedList = []
|
||||
for i, end in enumerate(numPhoneList):
|
||||
for end in numPhoneList:
|
||||
|
||||
syllable = phoneList[start:start+end]
|
||||
syllable = phoneList[start:start + end]
|
||||
syllabifiedList.append(syllable)
|
||||
|
||||
start += end
|
||||
@@ -212,21 +217,6 @@ def alignPronunciations(pronI, pronA):
|
||||
pronI = [char for char in pronI]
|
||||
pronA = [char for char in pronA]
|
||||
|
||||
# -- allow for some flexibility in pronunciation
|
||||
correctionsTuple = (('d', 't'), ('t', 'd'), ('s', 'z'), ('z', 's'),
|
||||
('m', 'n'), ('n', 'm'),)
|
||||
|
||||
doMatch = lambda i, a: ((i == a) or
|
||||
((i, a) in correctionsTuple))
|
||||
|
||||
def matchExists(targetPhone, pron):
|
||||
match = False
|
||||
for phone in pron:
|
||||
match = match or doMatch(targetPhone, phone)
|
||||
return match
|
||||
|
||||
# Remove vowels
|
||||
|
||||
# Remove any elements not in the other list (but maintain order)
|
||||
pronITmp = pronI
|
||||
pronATmp = pronA
|
||||
@@ -244,7 +234,7 @@ def alignPronunciations(pronI, pronA):
|
||||
startA = pronA.index(phone, startA)
|
||||
startI = pronI.index(phone, startI)
|
||||
|
||||
sequenceIndexListA.append(startA)
|
||||
sequenceIndexListA.append(startA)
|
||||
sequenceIndexListI.append(startI)
|
||||
|
||||
# An index on the tail of both will be used to create output strings
|
||||
@@ -254,17 +244,19 @@ def alignPronunciations(pronI, pronA):
|
||||
|
||||
# Fill in any blanks such that the sequential items have the same
|
||||
# index and the two strings are the same length
|
||||
for x in xrange(len(sequenceIndexListA)):
|
||||
for x in range(len(sequenceIndexListA)):
|
||||
indexA = sequenceIndexListA[x]
|
||||
indexI = sequenceIndexListI[x]
|
||||
if indexA < indexI :
|
||||
for x in xrange(indexI - indexA):
|
||||
if indexA < indexI:
|
||||
for x in range(indexI - indexA):
|
||||
pronA.insert(indexA, "''")
|
||||
sequenceIndexListA = [val + indexI - indexA for val in sequenceIndexListA]
|
||||
sequenceIndexListA = [val + indexI - indexA
|
||||
for val in sequenceIndexListA]
|
||||
elif indexA > indexI:
|
||||
for x in xrange(indexA - indexI):
|
||||
for x in range(indexA - indexI):
|
||||
pronI.insert(indexI, "''")
|
||||
sequenceIndexListI = [val + indexA - indexI for val in sequenceIndexListI]
|
||||
sequenceIndexListI = [val + indexA - indexI
|
||||
for val in sequenceIndexListI]
|
||||
|
||||
return pronI, pronA
|
||||
|
||||
@@ -273,23 +265,36 @@ def findBestSyllabification(isleDict, wordText, actualPronunciationList):
|
||||
'''
|
||||
Find the best syllabification for a word
|
||||
|
||||
First find the closest pronunciation to a given pronunciation. Then take
|
||||
the syllabification for that pronunciation and map it onto the
|
||||
First find the closest pronunciation to a given pronunciation. Then take
|
||||
the syllabification for that pronunciation and map it onto the
|
||||
input pronunciation.
|
||||
'''
|
||||
retList = _findBestPronunciation(isleDict, wordText, actualPronunciationList)
|
||||
retList = _findBestPronunciation(isleDict, wordText,
|
||||
actualPronunciationList)
|
||||
isleWordList, alignedAPronList, alignedSyllableList, bestIndex = retList
|
||||
|
||||
alignedPhoneList = alignedAPronList[bestIndex]
|
||||
alignedSyllables = alignedSyllableList[bestIndex]
|
||||
syllabification = isleWordList[bestIndex][0]
|
||||
stressedIndex = isleWordList[bestIndex][1]
|
||||
stressedSyllableIndexList = isleWordList[bestIndex][1]
|
||||
stressedPhoneIndexList = isleWordList[bestIndex][2]
|
||||
|
||||
stressedSyllable, syllableList = _syllabifyPhones(alignedPhoneList,
|
||||
alignedSyllables,
|
||||
stressedIndex)
|
||||
stressedSyllable, syllableList = _syllabifyPhones(alignedPhoneList,
|
||||
alignedSyllables,
|
||||
stressedSyllableIndexList)
|
||||
|
||||
return stressedSyllable, syllableList, syllabification, stressedIndex
|
||||
# Count the index of the stressed phones, if the stress list has
|
||||
# become flattened (no syllable information)
|
||||
flattenedStressIndexList = []
|
||||
for i, j in zip(stressedSyllableIndexList, stressedPhoneIndexList):
|
||||
k = j
|
||||
for l in range(i):
|
||||
k += len(syllableList[l])
|
||||
flattenedStressIndexList.append(k)
|
||||
|
||||
return (stressedSyllable, syllableList, syllabification,
|
||||
stressedSyllableIndexList, stressedPhoneIndexList,
|
||||
flattenedStressIndexList)
|
||||
|
||||
|
||||
def findClosestPronunciation(isleDict, wordText, aPron):
|
||||
@@ -298,9 +303,7 @@ def findClosestPronunciation(isleDict, wordText, aPron):
|
||||
'''
|
||||
|
||||
retList = _findBestPronunciation(isleDict, wordText, aPron)
|
||||
isleWordList, actualPronunciationList, bestIndex = retList
|
||||
isleWordList = retList[0]
|
||||
bestIndex = retList[3]
|
||||
|
||||
return isleWordList[bestIndex]
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -1,16 +1,19 @@
|
||||
#!/usr/bin/env python
|
||||
# encoding: utf-8
|
||||
'''
|
||||
Created on Oct 15, 2014
|
||||
|
||||
@author: tmahrt
|
||||
'''
|
||||
import codecs
|
||||
from distutils.core import setup
|
||||
setup(name='pysle',
|
||||
version='1.0.0',
|
||||
version='1.4.0',
|
||||
author='Tim Mahrt',
|
||||
author_email='timmahrt@gmail.com',
|
||||
package_dir={'pysle':'pysle'},
|
||||
packages=['pysle'],
|
||||
license='LICENSE',
|
||||
long_description=open('README.rst', 'r').read(),
|
||||
long_description=codecs.open('README.rst', 'r', encoding="utf-8").read(),
|
||||
# install_requires=[], # No requirements! # requires 'from setuptools import setup'
|
||||
)
|
||||
)
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
#encoding: utf-8
|
||||
'''
|
||||
Created on Oct 22, 2014
|
||||
|
||||
@@ -12,21 +13,23 @@ from pysle import pronunciationtools
|
||||
# In this first example we look up the syllabification of a word and get it's
|
||||
# stress information.
|
||||
|
||||
searchWord = 'pumpkins'
|
||||
isleDict = isletool.LexicalTool('islev2.txt')
|
||||
searchWord = 'catatonic'
|
||||
isleDict = isletool.LexicalTool('ISLEdict.txt')
|
||||
lookupResults = isleDict.lookup(searchWord)
|
||||
|
||||
firstEntry = lookupResults[0]
|
||||
firstSyllableList = firstEntry[0]
|
||||
firstSyllableList = ".".join([u" ".join(syllable) for syllable in firstSyllableList])
|
||||
firstStressList = firstEntry[1]
|
||||
|
||||
print searchWord
|
||||
print firstSyllableList, firstStressList # 3rd syllable carries stress
|
||||
print(searchWord)
|
||||
print(firstSyllableList)
|
||||
print(firstStressList) # 3rd syllable carries stress
|
||||
|
||||
|
||||
# Here we determine the syllabification of a word, as it was said.
|
||||
# (Of course, this is just a guess)
|
||||
print '-'*50
|
||||
print('-'*50)
|
||||
|
||||
searchWord = 'another'
|
||||
anotherPhoneList = ['n', '@', 'th', 'r']
|
||||
@@ -35,10 +38,14 @@ returnList = pronunciationtools.findBestSyllabification(isleDict,
|
||||
searchWord,
|
||||
anotherPhoneList)
|
||||
|
||||
stressedSyllable, syllableList, syllabification, stressedIndex = returnList
|
||||
|
||||
print searchWord
|
||||
print anotherPhoneList
|
||||
print syllableList # We can see the first syllable was elided
|
||||
|
||||
(stressedSyllable, syllableList, syllabification,
|
||||
stressedSyllableIndexList, stressedPhoneIndexList,
|
||||
flattenedStressIndexList) = returnList
|
||||
print(searchWord)
|
||||
print(anotherPhoneList)
|
||||
print(stressedSyllableIndexList) # We can see the first syllable was elided
|
||||
print(stressedPhoneIndexList)
|
||||
print(flattenedStressIndexList)
|
||||
print(syllableList)
|
||||
print(syllabification)
|
||||
|
||||
@@ -0,0 +1,55 @@
|
||||
#encoding: utf-8
|
||||
'''
|
||||
Created on July 08, 2016
|
||||
|
||||
@author: tmahrt
|
||||
|
||||
Basic examples of common usage.
|
||||
'''
|
||||
|
||||
import random
|
||||
|
||||
from pysle import isletool
|
||||
|
||||
tmpPath = r"C:\Users\Tim\Dropbox\workspace\pysle\test\ISLEdict.txt"
|
||||
isleDict = isletool.LexicalTool(tmpPath)
|
||||
|
||||
def printOutMatches(matchStr, numSyllables=None, wordInitial='ok',
|
||||
wordFinal='ok', spanSyllable='ok', stressedSyllable='ok',
|
||||
multiword='ok', numMatches=None, matchList=None):
|
||||
|
||||
if matchList is None:
|
||||
matchList = isleDict.search(matchStr, numSyllables, wordInitial,
|
||||
wordFinal, spanSyllable, stressedSyllable,
|
||||
multiword)
|
||||
else:
|
||||
matchList = isletool.search(matchList, matchStr, numSyllables, wordInitial,
|
||||
wordFinal, spanSyllable, stressedSyllable,
|
||||
multiword)
|
||||
|
||||
if numMatches is not None and len(matchList) > numMatches:
|
||||
random.shuffle(matchList)
|
||||
|
||||
for i, matchTuple in enumerate(matchList):
|
||||
if numMatches is not None and i > numMatches:
|
||||
break
|
||||
word, pronList = matchTuple
|
||||
print("%s: %s" % (word, ",".join(pronList)))
|
||||
print("")
|
||||
|
||||
return matchList
|
||||
|
||||
# 2-syllable words with a stressed syllable containing 'dV' but not word initially
|
||||
printOutMatches("dV", stressedSyllable="only", spanSyllable="no",
|
||||
wordInitial="no", numSyllables=2, numMatches=10)
|
||||
|
||||
# 3-syllable word with an 'ld' sequence that spans a syllable boundary
|
||||
printOutMatches("lBd", wordInitial="no", multiword='no',
|
||||
numSyllables=3, numMatches=10)
|
||||
|
||||
# words ending in 'inth'
|
||||
matchList = printOutMatches(u"ɪnɵ", wordFinal="only", numMatches=10)
|
||||
|
||||
# that also start with 's'
|
||||
matchList = printOutMatches("s", wordInitial="only", numMatches=10,
|
||||
matchList=matchList, multiword="no")
|
||||
@@ -12,21 +12,25 @@ This snippet shows you how to use this function.
|
||||
|
||||
from os.path import join
|
||||
|
||||
import praatio
|
||||
from praatio import tgio
|
||||
from pysle import isletool
|
||||
from pysle import praattools
|
||||
|
||||
path = join('.', 'files')
|
||||
path = "/Users/tmahrt/Dropbox/workspace/pysle/test/files"
|
||||
|
||||
tg = praatio.openTextGrid(join(path, "pumpkins.TextGrid"))
|
||||
isleDict = isletool.LexicalTool('/Users/tmahrt/Dropbox/workspace/pysle/test/islev2.txt') # Needs the full path to the file
|
||||
tg = tgio.openTextGrid(join(path, "pumpkins.TextGrid"))
|
||||
|
||||
# Needs the full path to the file
|
||||
islevPath = '/Users/tmahrt/Dropbox/workspace/pysle/test/islev2.txt'
|
||||
isleDict = isletool.LexicalTool(islevPath)
|
||||
|
||||
# Get the syllabification tiers and add it to the textgrid
|
||||
syllableTG = praattools.syllabifyTextgrid(isleDict, tg, "word", "phone",
|
||||
skipLabelList=["",])
|
||||
tg.addTier(syllableTG.tierDict["syllable"])
|
||||
tg.addTier(syllableTG.tierDict["tonic"])
|
||||
tg.addTier(syllableTG.tierDict["tonicSyllable"])
|
||||
tg.addTier(syllableTG.tierDict["tonicVowel"])
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user