def attenuateSuccessorsOnType(self):
for key, phoneme in self.phonemeObjects.items():
# Each successor must have its probability review
for successorKey, successor in phoneme.successors.items():
# Modifier is initially neutral
modifier = 1
# Compare phoneme types
if phoneme.phonemeType == successor.phonemeType:
# Phonemes are same type; probability should be drastically reduced
modifier = utils.sampleTruncatedNormalDist(0, 1, 0.05, 0.1)
phoneme.successorProbabilities[successorKey] *= modifier
def generateWords(self, generatedWords, totalWords):
debugMode = False
print("Generating (" + str(totalWords) + ") words...")
for nextWordIndex in range(totalWords):
if debugMode: print("Generating word " + str(nextWordIndex))
wordLength = int(utils.sampleTruncatedNormalDist(3, 10, 4.5, 2))
# Indicate if word length will be calculted in characters or phonemes
measureLengthInPhonemes = False
# Call generator function
finishedWord, symbolString = self.generateWord(wordLength, measureLengthInPhonemes)
# Add generated word to list
generatedWords.append(finishedWord)
def generateAndPrintParagraph(totalLines, lineWidth, language):
paragraph = ""
capitalizeNext = True
# Indicate if word length will be calculted in characters or phonemes
measureWordLengthInPhonemes = False
# Sentence length counters aid decision of punctuation placement
currentSentenceLength = 0
minimumSentenceLength = 20
# Iterate over required lines
for lineNumber in range(totalLines):
currentLine = ""
while len(currentLine) < lineWidth:
# Generate sanother word for this line
wordLength = int(utils.sampleTruncatedNormalDist(0, 7, 3, 2)) + 1
# Generate word
word, symbolString = language.generateWord(wordLength, measureWordLengthInPhonemes)
# Words at beginning of sentences will be capitalized, based on flag
if capitalizeNext:
capitalizeNext = False
word = str.capitalize(word)
# Chance of sentence ending increases the more the sentence exceeds the minimum length
currentSentenceLength += len(word)
if currentSentenceLength > minimumSentenceLength:
# Sentence overflow is number of characters in sentence past minimum sentence length
sentenceOverflow = currentSentenceLength - minimumSentenceLength
# Sentence termination probability increases with sentenceOverflow
terminationProb = 0.02
if random.random() < (terminationProb * sentenceOverflow):
# If sentence ends here, add a full stop
word += "."
currentSentenceLength = 0
capitalizeNext = True
# Add a space before the next word
word += " "
currentLine += word
# Add a newline symbol
currentLine += "\n"
# Add line to paragraph
paragraph += currentLine
# Print the paragraph
print("\nGenerated paragraph:")
print(paragraph)
def getNoiseAlteredBaseProb(self):
# Normal distribution sample (mean, sd)
noise = utils.sampleTruncatedNormalDist(0, 2, 1, 0.25)
return self.baseProbability * noise
