Created
September 15, 2011 16:42
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Getting triphones from CMUDict pronunciations in NLTK
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import re | |
from collections import defaultdict | |
import nltk | |
from nltk.corpus import cmudict | |
def clean_pron(pron): | |
"""Remove stress from pronunciations.""" | |
return re.sub(r"\d", "", pron) | |
def make_triphones(pron): | |
"""Output triphones from a word's pronunciation.""" | |
if len(pron) < 3: | |
return [] | |
# Junk on end is to make word boundaries work | |
return ([((pron[idx - 2], pron[idx - 1]), pron[idx]) | |
for idx in range(2, len(pron))] + [(('#', '#'), pron[0])] + | |
[((pron[-2], pron[-1]), '#')]) | |
def triphone_probs(prons): | |
"""Calculate triphone probabilities for pronunciations.""" | |
context_counts = defaultdict(lambda: defaultdict(int)) | |
for pron in prons: | |
for (context, phoneme) in make_triphones(pron): | |
context_counts[context][phoneme] += 1 | |
for (context, outcomes) in context_counts.items(): | |
total_outcomes = sum(outcomes.values()) | |
for outcome, count in outcomes.items(): | |
context_counts[context][outcome] = float(count) / total_outcomes | |
return context_counts | |
def main(): | |
"""Compute some triphone probabilities.""" | |
pron_dict = cmudict.dict() | |
prons = (map(clean_pron, pron) for prons in pron_dict.values() | |
for pron in prons) | |
triphones = triphone_probs(prons) | |
context = ('IH', 'NG') | |
outcomes = triphones[context] | |
print context | |
sorted_outcomes = sorted(outcomes.items(), key=lambda x: x[1], reverse=True) | |
for outcome in sorted_outcomes: | |
print "%s: %.4f" % outcome | |
if __name__ == "__main__": | |
main() |
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