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84 lines
4.0 KiB
84 lines
4.0 KiB
# Copyright (c) 2023 PaddlePaddle Authors. 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 paddlespeech.t2s.frontend.ssml.xml_processor import MixTextProcessor
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if __name__ == '__main__':
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text = "你好吗，<speak>我们的声学模型使用了 Fast Speech Two。前浪<say-as pinyin='dao3'>倒</say-as>在沙滩上,沙滩上倒了一堆<say-as pinyin='tu3'>土</say-as>。 想象<say-as pinyin='gan1 gan1'>干干</say-as>的树干<say-as pinyin='dao3'>倒</say-as>了, 里面有个干尸，不知是被谁<say-as pinyin='gan4'>干</say-as>死的。</speak>thank you."
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# SSML: 13
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# 0 ['你好吗，', []]
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# 1 ['我们的声学模型使用了FastSpeechTwo。前浪', []]
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# 2 ['倒', ['dao3']]
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# 3 ['在沙滩上,沙滩上倒了一堆', []]
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# 4 ['土', ['tu3']]
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# 5 ['。想象', []]
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# 6 ['干干', ['gan1', 'gan1']]
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# 7 ['的树干', []]
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# 8 ['倒', ['dao3']]
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# 9 ['了,里面有个干尸，不知是被谁', []]
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# 10 ['干', ['gan4']]
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# 11 ['死的。', []]
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# 12 ['thank you.', []]
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inputs = MixTextProcessor.get_pinyin_split(text)
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print(f"SSML get_pinyin_split: {len(inputs)}")
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for i, sub in enumerate(inputs):
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print(i, sub)
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print()
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# SSML get_dom_split: 13
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# 0 你好吗，
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# 1 我们的声学模型使用了 Fast Speech Two。前浪
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# 2 <say-as pinyin="dao3">倒</say-as>
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# 3 在沙滩上,沙滩上倒了一堆
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# 4 <say-as pinyin="tu3">土</say-as>
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# 5 。 想象
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# 6 <say-as pinyin="gan1 gan1">干干</say-as>
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# 7 的树干
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# 8 <say-as pinyin="dao3">倒</say-as>
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# 9 了, 里面有个干尸，不知是被谁
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# 10 <say-as pinyin="gan4">干</say-as>
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# 11 死的。
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# 12 thank you.
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inputs = MixTextProcessor.get_dom_split(text)
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print(f"SSML get_dom_split: {len(inputs)}")
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for i, sub in enumerate(inputs):
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print(i, sub)
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print()
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# SSML object.get_pinyin_split: 246
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# <speak>我们的声学模型使用了 Fast Speech Two。前浪<say-as pinyin='dao3'>倒</say-as>在沙滩上,沙滩上倒了一堆<say-as pinyin='tu3'>土</say-as>。 想象<say-as pinyin='gan1 gan1'>干干</say-as>的树干<say-as pinyin='dao3'>倒</say-as>了, 里面有个干尸，不知是被谁<say-as pinyin='gan4'>干</say-as>死的。</speak>
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outs = MixTextProcessor().get_xml_content(text)
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print(f"SSML object.get_pinyin_split: {len(outs)}")
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print(outs)
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print()
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# SSML object.get_content_split: 30 你好吗，
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# 1 <speak>我们的声学模型使用了 Fast Speech Two。前浪<say-as pinyin='dao3'>倒</say-as>在沙滩上,沙滩上倒了一堆<say-as pinyin='tu3'>土</say-as>。 想象<say-as pinyin='gan1 gan1'>干干</say-as>的树干<say-as pinyin='dao3'>
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# 倒</say-as>了, 里面有个干尸，不知是被谁<say-as pinyin='gan4'>干</say-as>死的。</speak>
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# 2 thank you.
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outs = MixTextProcessor().get_content_split(text)
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print(f"SSML object.get_content_split: {len(outs)}")
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for i, sub in enumerate(outs):
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print(i, sub)
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print()
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import json
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import xmltodict
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text = "<speak>我们的声学模型使用了 Fast Speech Two。前浪<say-as pinyin='dao3'>倒</say-as>在沙滩上,沙滩上倒了一堆<say-as pinyin='tu3'>土</say-as>。 想象<say-as pinyin='gan1 gan1'>干干</say-as>的树干<say-as pinyin='dao3'>倒</say-as>了, 里面有个干尸，不知是被谁<say-as pinyin='gan4'>干</say-as>死的。</speak>"
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ssml = xmltodict.parse(text)
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print(json.dumps(ssml))
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print(ssml['speak'].keys())
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print(ssml['speak']['#text'])
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print(ssml['speak']['say-as'])
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