TianYuan
3 years ago
committed by
GitHub
commit
7c0ec3c249
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# 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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# http://www.apache.org/licenses/LICENSE-2.0
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||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
pretrained_models = {
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# The tags for pretrained_models should be "{model_name}[_{dataset}][-{lang}][-...]".
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# e.g. "conformer_wenetspeech-zh-16k" and "panns_cnn6-32k".
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# Command line and python api use "{model_name}[_{dataset}]" as --model, usage:
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# "paddlespeech asr --model conformer_wenetspeech --lang zh --sr 16000 --input ./input.wav"
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"conformer_wenetspeech-zh-16k": {
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'url':
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'https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1_conformer_wenetspeech_ckpt_0.1.1.model.tar.gz',
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'md5':
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'76cb19ed857e6623856b7cd7ebbfeda4',
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'cfg_path':
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'model.yaml',
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'ckpt_path':
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'exp/conformer/checkpoints/wenetspeech',
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},
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"transformer_librispeech-en-16k": {
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'url':
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'https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr1/asr1_transformer_librispeech_ckpt_0.1.1.model.tar.gz',
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'md5':
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'2c667da24922aad391eacafe37bc1660',
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'cfg_path':
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'model.yaml',
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'ckpt_path':
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'exp/transformer/checkpoints/avg_10',
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},
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"deepspeech2offline_aishell-zh-16k": {
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'url':
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'https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_aishell_ckpt_0.1.1.model.tar.gz',
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'md5':
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'932c3593d62fe5c741b59b31318aa314',
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'cfg_path':
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'model.yaml',
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'ckpt_path':
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'exp/deepspeech2/checkpoints/avg_1',
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'lm_url':
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'https://deepspeech.bj.bcebos.com/zh_lm/zh_giga.no_cna_cmn.prune01244.klm',
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'lm_md5':
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'29e02312deb2e59b3c8686c7966d4fe3'
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},
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"deepspeech2online_aishell-zh-16k": {
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'url':
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'https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_ckpt_0.2.0.model.tar.gz',
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'md5':
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'23e16c69730a1cb5d735c98c83c21e16',
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'cfg_path':
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'model.yaml',
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'ckpt_path':
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'exp/deepspeech2_online/checkpoints/avg_1',
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'lm_url':
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'https://deepspeech.bj.bcebos.com/zh_lm/zh_giga.no_cna_cmn.prune01244.klm',
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'lm_md5':
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'29e02312deb2e59b3c8686c7966d4fe3'
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},
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"deepspeech2offline_librispeech-en-16k": {
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'url':
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'https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr0/asr0_deepspeech2_librispeech_ckpt_0.1.1.model.tar.gz',
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'md5':
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'f5666c81ad015c8de03aac2bc92e5762',
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'cfg_path':
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'model.yaml',
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'ckpt_path':
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'exp/deepspeech2/checkpoints/avg_1',
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'lm_url':
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'https://deepspeech.bj.bcebos.com/en_lm/common_crawl_00.prune01111.trie.klm',
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'lm_md5':
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'099a601759d467cd0a8523ff939819c5'
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},
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}
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model_alias = {
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"deepspeech2offline":
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"paddlespeech.s2t.models.ds2:DeepSpeech2Model",
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"deepspeech2online":
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"paddlespeech.s2t.models.ds2_online:DeepSpeech2ModelOnline",
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"conformer":
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"paddlespeech.s2t.models.u2:U2Model",
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"transformer":
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"paddlespeech.s2t.models.u2:U2Model",
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"wenetspeech":
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"paddlespeech.s2t.models.u2:U2Model",
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}
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@ -0,0 +1,47 @@
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# 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
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
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||||
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pretrained_models = {
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# The tags for pretrained_models should be "{model_name}[_{dataset}][-{lang}][-...]".
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# e.g. "conformer_wenetspeech-zh-16k", "transformer_aishell-zh-16k" and "panns_cnn6-32k".
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# Command line and python api use "{model_name}[_{dataset}]" as --model, usage:
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# "paddlespeech asr --model conformer_wenetspeech --lang zh --sr 16000 --input ./input.wav"
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"panns_cnn6-32k": {
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'url': 'https://paddlespeech.bj.bcebos.com/cls/panns_cnn6.tar.gz',
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'md5': '4cf09194a95df024fd12f84712cf0f9c',
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'cfg_path': 'panns.yaml',
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'ckpt_path': 'cnn6.pdparams',
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'label_file': 'audioset_labels.txt',
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},
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"panns_cnn10-32k": {
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'url': 'https://paddlespeech.bj.bcebos.com/cls/panns_cnn10.tar.gz',
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'md5': 'cb8427b22176cc2116367d14847f5413',
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'cfg_path': 'panns.yaml',
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'ckpt_path': 'cnn10.pdparams',
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'label_file': 'audioset_labels.txt',
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},
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"panns_cnn14-32k": {
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'url': 'https://paddlespeech.bj.bcebos.com/cls/panns_cnn14.tar.gz',
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'md5': 'e3b9b5614a1595001161d0ab95edee97',
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'cfg_path': 'panns.yaml',
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'ckpt_path': 'cnn14.pdparams',
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'label_file': 'audioset_labels.txt',
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},
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}
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model_alias = {
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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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@ -0,0 +1,35 @@
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# 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,
|
||||
# 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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pretrained_models = {
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"fat_st_ted-en-zh": {
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"url":
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"https://paddlespeech.bj.bcebos.com/s2t/ted_en_zh/st1/st1_transformer_mtl_noam_ted-en-zh_ckpt_0.1.1.model.tar.gz",
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"md5":
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"d62063f35a16d91210a71081bd2dd557",
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"cfg_path":
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"model.yaml",
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"ckpt_path":
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"exp/transformer_mtl_noam/checkpoints/fat_st_ted-en-zh.pdparams",
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}
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}
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model_alias = {"fat_st": "paddlespeech.s2t.models.u2_st:U2STModel"}
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kaldi_bins = {
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"url":
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"https://paddlespeech.bj.bcebos.com/s2t/ted_en_zh/st1/kaldi_bins.tar.gz",
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"md5":
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"c0682303b3f3393dbf6ed4c4e35a53eb",
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}
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@ -0,0 +1,54 @@
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# 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
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
pretrained_models = {
|
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# The tags for pretrained_models should be "{model_name}[_{dataset}][-{lang}][-...]".
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# e.g. "conformer_wenetspeech-zh-16k", "transformer_aishell-zh-16k" and "panns_cnn6-32k".
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# Command line and python api use "{model_name}[_{dataset}]" as --model, usage:
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# "paddlespeech asr --model conformer_wenetspeech --lang zh --sr 16000 --input ./input.wav"
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"ernie_linear_p7_wudao-punc-zh": {
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'url':
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'https://paddlespeech.bj.bcebos.com/text/ernie_linear_p7_wudao-punc-zh.tar.gz',
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'md5':
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'12283e2ddde1797c5d1e57036b512746',
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'cfg_path':
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'ckpt/model_config.json',
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'ckpt_path':
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'ckpt/model_state.pdparams',
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'vocab_file':
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'punc_vocab.txt',
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},
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"ernie_linear_p3_wudao-punc-zh": {
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'url':
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'https://paddlespeech.bj.bcebos.com/text/ernie_linear_p3_wudao-punc-zh.tar.gz',
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'md5':
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'448eb2fdf85b6a997e7e652e80c51dd2',
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'cfg_path':
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'ckpt/model_config.json',
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'ckpt_path':
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'ckpt/model_state.pdparams',
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'vocab_file':
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'punc_vocab.txt',
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},
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}
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model_alias = {
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"ernie_linear_p7": "paddlespeech.text.models:ErnieLinear",
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"ernie_linear_p3": "paddlespeech.text.models:ErnieLinear",
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}
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tokenizer_alias = {
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"ernie_linear_p7": "paddlenlp.transformers:ErnieTokenizer",
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"ernie_linear_p3": "paddlenlp.transformers:ErnieTokenizer",
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}
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@ -0,0 +1,300 @@
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# 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.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
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pretrained_models = {
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# speedyspeech
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"speedyspeech_csmsc-zh": {
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'url':
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'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/speedyspeech/speedyspeech_csmsc_ckpt_0.2.0.zip',
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'md5':
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'6f6fa967b408454b6662c8c00c0027cb',
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'config':
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'default.yaml',
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'ckpt':
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'snapshot_iter_30600.pdz',
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'speech_stats':
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'feats_stats.npy',
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'phones_dict':
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'phone_id_map.txt',
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'tones_dict':
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'tone_id_map.txt',
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},
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# fastspeech2
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"fastspeech2_csmsc-zh": {
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'url':
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'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_nosil_baker_ckpt_0.4.zip',
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'md5':
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'637d28a5e53aa60275612ba4393d5f22',
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'config':
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'default.yaml',
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'ckpt':
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'snapshot_iter_76000.pdz',
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'speech_stats':
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'speech_stats.npy',
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'phones_dict':
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'phone_id_map.txt',
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},
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"fastspeech2_ljspeech-en": {
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'url':
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'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_nosil_ljspeech_ckpt_0.5.zip',
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'md5':
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'ffed800c93deaf16ca9b3af89bfcd747',
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'config':
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'default.yaml',
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'ckpt':
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'snapshot_iter_100000.pdz',
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'speech_stats':
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'speech_stats.npy',
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'phones_dict':
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'phone_id_map.txt',
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},
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"fastspeech2_aishell3-zh": {
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'url':
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'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_nosil_aishell3_ckpt_0.4.zip',
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'md5':
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'f4dd4a5f49a4552b77981f544ab3392e',
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'config':
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'default.yaml',
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'ckpt':
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'snapshot_iter_96400.pdz',
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'speech_stats':
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'speech_stats.npy',
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'phones_dict':
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'phone_id_map.txt',
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'speaker_dict':
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'speaker_id_map.txt',
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},
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"fastspeech2_vctk-en": {
|
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'url':
|
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'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_nosil_vctk_ckpt_0.5.zip',
|
||||
'md5':
|
||||
'743e5024ca1e17a88c5c271db9779ba4',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_66200.pdz',
|
||||
'speech_stats':
|
||||
'speech_stats.npy',
|
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'phones_dict':
|
||||
'phone_id_map.txt',
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'speaker_dict':
|
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'speaker_id_map.txt',
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},
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# tacotron2
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"tacotron2_csmsc-zh": {
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'url':
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'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/tacotron2/tacotron2_csmsc_ckpt_0.2.0.zip',
|
||||
'md5':
|
||||
'0df4b6f0bcbe0d73c5ed6df8867ab91a',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_30600.pdz',
|
||||
'speech_stats':
|
||||
'speech_stats.npy',
|
||||
'phones_dict':
|
||||
'phone_id_map.txt',
|
||||
},
|
||||
"tacotron2_ljspeech-en": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/tacotron2/tacotron2_ljspeech_ckpt_0.2.0.zip',
|
||||
'md5':
|
||||
'6a5eddd81ae0e81d16959b97481135f3',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_60300.pdz',
|
||||
'speech_stats':
|
||||
'speech_stats.npy',
|
||||
'phones_dict':
|
||||
'phone_id_map.txt',
|
||||
},
|
||||
|
||||
# pwgan
|
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"pwgan_csmsc-zh": {
|
||||
'url':
|
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'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_baker_ckpt_0.4.zip',
|
||||
'md5':
|
||||
'2e481633325b5bdf0a3823c714d2c117',
|
||||
'config':
|
||||
'pwg_default.yaml',
|
||||
'ckpt':
|
||||
'pwg_snapshot_iter_400000.pdz',
|
||||
'speech_stats':
|
||||
'pwg_stats.npy',
|
||||
},
|
||||
"pwgan_ljspeech-en": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_ljspeech_ckpt_0.5.zip',
|
||||
'md5':
|
||||
'53610ba9708fd3008ccaf8e99dacbaf0',
|
||||
'config':
|
||||
'pwg_default.yaml',
|
||||
'ckpt':
|
||||
'pwg_snapshot_iter_400000.pdz',
|
||||
'speech_stats':
|
||||
'pwg_stats.npy',
|
||||
},
|
||||
"pwgan_aishell3-zh": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_aishell3_ckpt_0.5.zip',
|
||||
'md5':
|
||||
'd7598fa41ad362d62f85ffc0f07e3d84',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_1000000.pdz',
|
||||
'speech_stats':
|
||||
'feats_stats.npy',
|
||||
},
|
||||
"pwgan_vctk-en": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_vctk_ckpt_0.1.1.zip',
|
||||
'md5':
|
||||
'b3da1defcde3e578be71eb284cb89f2c',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_1500000.pdz',
|
||||
'speech_stats':
|
||||
'feats_stats.npy',
|
||||
},
|
||||
# mb_melgan
|
||||
"mb_melgan_csmsc-zh": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_csmsc_ckpt_0.1.1.zip',
|
||||
'md5':
|
||||
'ee5f0604e20091f0d495b6ec4618b90d',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_1000000.pdz',
|
||||
'speech_stats':
|
||||
'feats_stats.npy',
|
||||
},
|
||||
# style_melgan
|
||||
"style_melgan_csmsc-zh": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/style_melgan/style_melgan_csmsc_ckpt_0.1.1.zip',
|
||||
'md5':
|
||||
'5de2d5348f396de0c966926b8c462755',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_1500000.pdz',
|
||||
'speech_stats':
|
||||
'feats_stats.npy',
|
||||
},
|
||||
# hifigan
|
||||
"hifigan_csmsc-zh": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_csmsc_ckpt_0.1.1.zip',
|
||||
'md5':
|
||||
'dd40a3d88dfcf64513fba2f0f961ada6',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_2500000.pdz',
|
||||
'speech_stats':
|
||||
'feats_stats.npy',
|
||||
},
|
||||
"hifigan_ljspeech-en": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_ljspeech_ckpt_0.2.0.zip',
|
||||
'md5':
|
||||
'70e9131695decbca06a65fe51ed38a72',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_2500000.pdz',
|
||||
'speech_stats':
|
||||
'feats_stats.npy',
|
||||
},
|
||||
"hifigan_aishell3-zh": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_aishell3_ckpt_0.2.0.zip',
|
||||
'md5':
|
||||
'3bb49bc75032ed12f79c00c8cc79a09a',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_2500000.pdz',
|
||||
'speech_stats':
|
||||
'feats_stats.npy',
|
||||
},
|
||||
"hifigan_vctk-en": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_vctk_ckpt_0.2.0.zip',
|
||||
'md5':
|
||||
'7da8f88359bca2457e705d924cf27bd4',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_2500000.pdz',
|
||||
'speech_stats':
|
||||
'feats_stats.npy',
|
||||
},
|
||||
|
||||
# wavernn
|
||||
"wavernn_csmsc-zh": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/wavernn/wavernn_csmsc_ckpt_0.2.0.zip',
|
||||
'md5':
|
||||
'ee37b752f09bcba8f2af3b777ca38e13',
|
||||
'config':
|
||||
'default.yaml',
|
||||
'ckpt':
|
||||
'snapshot_iter_400000.pdz',
|
||||
'speech_stats':
|
||||
'feats_stats.npy',
|
||||
}
|
||||
}
|
||||
|
||||
model_alias = {
|
||||
# acoustic model
|
||||
"speedyspeech":
|
||||
"paddlespeech.t2s.models.speedyspeech:SpeedySpeech",
|
||||
"speedyspeech_inference":
|
||||
"paddlespeech.t2s.models.speedyspeech:SpeedySpeechInference",
|
||||
"fastspeech2":
|
||||
"paddlespeech.t2s.models.fastspeech2:FastSpeech2",
|
||||
"fastspeech2_inference":
|
||||
"paddlespeech.t2s.models.fastspeech2:FastSpeech2Inference",
|
||||
"tacotron2":
|
||||
"paddlespeech.t2s.models.tacotron2:Tacotron2",
|
||||
"tacotron2_inference":
|
||||
"paddlespeech.t2s.models.tacotron2:Tacotron2Inference",
|
||||
# voc
|
||||
"pwgan":
|
||||
"paddlespeech.t2s.models.parallel_wavegan:PWGGenerator",
|
||||
"pwgan_inference":
|
||||
"paddlespeech.t2s.models.parallel_wavegan:PWGInference",
|
||||
"mb_melgan":
|
||||
"paddlespeech.t2s.models.melgan:MelGANGenerator",
|
||||
"mb_melgan_inference":
|
||||
"paddlespeech.t2s.models.melgan:MelGANInference",
|
||||
"style_melgan":
|
||||
"paddlespeech.t2s.models.melgan:StyleMelGANGenerator",
|
||||
"style_melgan_inference":
|
||||
"paddlespeech.t2s.models.melgan:StyleMelGANInference",
|
||||
"hifigan":
|
||||
"paddlespeech.t2s.models.hifigan:HiFiGANGenerator",
|
||||
"hifigan_inference":
|
||||
"paddlespeech.t2s.models.hifigan:HiFiGANInference",
|
||||
"wavernn":
|
||||
"paddlespeech.t2s.models.wavernn:WaveRNN",
|
||||
"wavernn_inference":
|
||||
"paddlespeech.t2s.models.wavernn:WaveRNNInference",
|
||||
}
|
||||
@ -0,0 +1,36 @@
|
||||
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
pretrained_models = {
|
||||
# The tags for pretrained_models should be "{model_name}[-{dataset}][-{sr}][-...]".
|
||||
# e.g. "ecapatdnn_voxceleb12-16k".
|
||||
# Command line and python api use "{model_name}[-{dataset}]" as --model, usage:
|
||||
# "paddlespeech vector --task spk --model ecapatdnn_voxceleb12-16k --sr 16000 --input ./input.wav"
|
||||
"ecapatdnn_voxceleb12-16k": {
|
||||
'url':
|
||||
'https://paddlespeech.bj.bcebos.com/vector/voxceleb/sv0_ecapa_tdnn_voxceleb12_ckpt_0_2_0.tar.gz',
|
||||
'md5':
|
||||
'cc33023c54ab346cd318408f43fcaf95',
|
||||
'cfg_path':
|
||||
'conf/model.yaml', # the yaml config path
|
||||
'ckpt_path':
|
||||
'model/model', # the format is ${dir}/{model_name},
|
||||
# so the first 'model' is dir, the second 'model' is the name
|
||||
# this means we have a model stored as model/model.pdparams
|
||||
},
|
||||
}
|
||||
|
||||
model_alias = {
|
||||
"ecapatdnn": "paddlespeech.vector.models.ecapa_tdnn:EcapaTdnn",
|
||||
}
|
||||
Loading…
Reference in new issue