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- import pynini
- from fun_text_processing.text_normalization.en.graph_utils import GraphFst
- from fun_text_processing.text_normalization.ru.alphabet import RU_ALPHA
- from pynini.lib import pynutil
- class ElectronicFst(GraphFst):
- """
- Finite state transducer for verbalizing electronic
- e.g. electronic { username: "эй би собака эн ди точка ру" } -> "эй би собака эн ди точка ру"
- Args:
- deterministic: if True will provide a single transduction option,
- for False multiple transduction are generated (used for audio-based normalization)
- """
- def __init__(self, deterministic: bool = True):
- super().__init__(name="electronic", kind="verbalize", deterministic=deterministic)
- graph = pynutil.delete("username: \"") + pynini.closure(RU_ALPHA | " ") + pynutil.delete("\"")
- delete_tokens = self.delete_tokens(graph)
- self.fst = delete_tokens.optimize()
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