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59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
# Copyright (c) 2022, NVIDIA CORPORATION. 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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from nemo.collections.common.tokenizers import TokenizerSpec
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from nemo.collections.common.tokenizers.text_to_speech.tts_tokenizers import EnglishPhonemesTokenizer
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from nemo.collections.tts.g2p.models.en_us_arpabet import EnglishG2p
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__all__ = ['TextToSpeechTokenizer']
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class TextToSpeechTokenizer(TokenizerSpec):
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def __init__(self, phoneme_dict, heteronyms):
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self.g2p = EnglishG2p(phoneme_dict=phoneme_dict, heteronyms=heteronyms)
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self.tokenizer = EnglishPhonemesTokenizer(
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self.g2p, stresses=True, chars=True, pad_with_space=True, add_blank_at=True
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)
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self.vocab_size = len(self.tokenizer.tokens)
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def text_to_ids(self, text):
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return self.tokenizer.encode(text)
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def text_to_tokens(self, text):
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return self.g2p(text)
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def tokens_to_text(self, tokens):
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pass
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def tokens_to_ids(self, tokens):
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pass
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def ids_to_tokens(self, ids):
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pass
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def ids_to_text(self, ids):
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pass
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@property
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def pad_id(self):
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return self.tokenizer.pad
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@property
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def bos_id(self):
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return self.tokenizer.pad
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@property
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def eos_id(self):
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return self.tokenizer.pad
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