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87 lines
3.6 KiB
87 lines
3.6 KiB
# Copyright (c) 2022 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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__all__ = [
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'model_alias',
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]
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# Records of model name to import class
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model_alias = {
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# ---------------------------------
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# -------------- ASR --------------
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# ---------------------------------
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"deepspeech2offline": ["paddlespeech.s2t.models.ds2:DeepSpeech2Model"],
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"deepspeech2online": ["paddlespeech.s2t.models.ds2:DeepSpeech2Model"],
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"conformer": ["paddlespeech.s2t.models.u2:U2Model"],
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"conformer_online": ["paddlespeech.s2t.models.u2:U2Model"],
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"transformer": ["paddlespeech.s2t.models.u2:U2Model"],
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"wenetspeech": ["paddlespeech.s2t.models.u2:U2Model"],
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# ---------------------------------
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# -------------- CLS --------------
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# ---------------------------------
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"panns_cnn6": ["paddlespeech.cls.models.panns:CNN6"],
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"panns_cnn10": ["paddlespeech.cls.models.panns:CNN10"],
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"panns_cnn14": ["paddlespeech.cls.models.panns:CNN14"],
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# ---------------------------------
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# -------------- ST ---------------
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# ---------------------------------
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"fat_st": ["paddlespeech.s2t.models.u2_st:U2STModel"],
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# ---------------------------------
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# -------------- TEXT -------------
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# ---------------------------------
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"ernie_linear_p7": [
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"paddlespeech.text.models:ErnieLinear",
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"paddlenlp.transformers:ErnieTokenizer"
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],
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"ernie_linear_p3": [
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"paddlespeech.text.models:ErnieLinear",
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"paddlenlp.transformers:ErnieTokenizer"
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],
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# ---------------------------------
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# -------------- TTS --------------
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# ---------------------------------
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# acoustic model
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"speedyspeech": ["paddlespeech.t2s.models.speedyspeech:SpeedySpeech"],
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"speedyspeech_inference":
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["paddlespeech.t2s.models.speedyspeech:SpeedySpeechInference"],
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"fastspeech2": ["paddlespeech.t2s.models.fastspeech2:FastSpeech2"],
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"fastspeech2_inference":
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["paddlespeech.t2s.models.fastspeech2:FastSpeech2Inference"],
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"tacotron2": ["paddlespeech.t2s.models.tacotron2:Tacotron2"],
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"tacotron2_inference":
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["paddlespeech.t2s.models.tacotron2:Tacotron2Inference"],
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# voc
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"pwgan": ["paddlespeech.t2s.models.parallel_wavegan:PWGGenerator"],
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"pwgan_inference":
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["paddlespeech.t2s.models.parallel_wavegan:PWGInference"],
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"mb_melgan": ["paddlespeech.t2s.models.melgan:MelGANGenerator"],
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"mb_melgan_inference": ["paddlespeech.t2s.models.melgan:MelGANInference"],
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"style_melgan": ["paddlespeech.t2s.models.melgan:StyleMelGANGenerator"],
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"style_melgan_inference":
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["paddlespeech.t2s.models.melgan:StyleMelGANInference"],
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"hifigan": ["paddlespeech.t2s.models.hifigan:HiFiGANGenerator"],
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"hifigan_inference": ["paddlespeech.t2s.models.hifigan:HiFiGANInference"],
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"wavernn": ["paddlespeech.t2s.models.wavernn:WaveRNN"],
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"wavernn_inference": ["paddlespeech.t2s.models.wavernn:WaveRNNInference"],
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# ---------------------------------
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# ------------ Vector -------------
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# ---------------------------------
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"ecapatdnn": ["paddlespeech.vector.models.ecapa_tdnn:EcapaTdnn"],
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}
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