PronunciationProbabilityCounter

class montreal_forced_aligner.data.PronunciationProbabilityCounter(ngram_counts=<dataclassy.dataclass.Factory object>, word_pronunciation_counts=<dataclassy.dataclass.Factory object>, silence_following_counts=<dataclassy.dataclass.Factory object>, non_silence_following_counts=<dataclassy.dataclass.Factory object>, silence_before_counts=<dataclassy.dataclass.Factory object>, non_silence_before_counts=<dataclassy.dataclass.Factory object>, *args, **kwargs)

Bases: object

Data class for count information used in pronunciation probability modeling

Parameters:

• ngram_counts (collections.defaultdict) – Counts of ngrams

• word_pronunciation_counts (collections.defaultdict) – Counts of word pronunciations

• silence_following_counts (collections.Counter) – Counts of silence following pronunciation

• non_silence_following_counts (collections.Counter) – Counts of non-silence following pronunciation

• silence_before_counts (collections.Counter) – Counts of silence before pronunciation

• non_silence_before_counts (collections.Counter) – Counts of non-silence before pronunciation

add_counts(other_counter)

Combine counts of two PronunciationProbabilityCounter

Parameters:

other_counter (PronunciationProbabilityCounter) – Other object with pronunciation probability counts