# Copyright NeMo (https://github.com/NVIDIA/NeMo). All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import pynini
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from fun_text_processing.text_normalization.en.graph_utils import GraphFst
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from fun_text_processing.text_normalization.ru.alphabet import RU_ALPHA
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from pynini.lib import pynutil
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class ElectronicFst(GraphFst):
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"""
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Finite state transducer for verbalizing electronic
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e.g. electronic { username: "эй би собака эн ди точка ру" } -> "эй би собака эн ди точка ру"
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Args:
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deterministic: if True will provide a single transduction option,
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for False multiple transduction are generated (used for audio-based normalization)
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"""
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def __init__(self, deterministic: bool = True):
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super().__init__(name="electronic", kind="verbalize", deterministic=deterministic)
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graph = pynutil.delete("username: \"") + pynini.closure(RU_ALPHA | " ") + pynutil.delete("\"")
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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