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VoiceClone - Third-Party AI Model Licences and Attribution
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VoiceClone bundles pre-trained machine-learning model weights created by third
parties. Each component is listed below with its licence, its original source,
and the attribution notice required by that licence.

All bundled components are distributed under permissive open-source licences
(MIT or Apache License 2.0). Each permits redistribution and commercial use.

The full text of the Apache License 2.0 referenced below is supplied alongside
this file as "Apache-2.0.txt", and is also available at:
    https://www.apache.org/licenses/LICENSE-2.0

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1. GPT-SoVITS v2Pro acoustic models  --  s2Gv2Pro.pth, s2Dv2Pro.pth
2. GPT-SoVITS v3 AR/GPT checkpoint   --  s1v3.ckpt
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Project : GPT-SoVITS
Author  : RVC-Boss and contributors
Source  : https://github.com/RVC-Boss/GPT-SoVITS
Weights : https://huggingface.co/lj1995/GPT-SoVITS
Licence : MIT License

    MIT License

    Copyright (c) 2024 RVC-Boss

    Permission is hereby granted, free of charge, to any person obtaining a
    copy of this software and associated documentation files (the "Software"),
    to deal in the Software without restriction, including without limitation
    the rights to use, copy, modify, merge, publish, distribute, sublicense,
    and/or sell copies of the Software, and to permit persons to whom the
    Software is furnished to do so, subject to the following conditions:

    The above copyright notice and this permission notice shall be included in
    all copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
    FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
    DEALINGS IN THE SOFTWARE.

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3. Chinese HuBERT Base  --  chinese-hubert-base
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Author  : TencentGameMate
Source  : https://huggingface.co/TencentGameMate/chinese-hubert-base
Upstream: https://github.com/TencentGameMate/chinese_speech_pretrain
Licence : MIT License (declared on the model card)
Notes   : Audio feature encoder, pre-trained on the 10,000-hour WenetSpeech L
          subset. Redistributed unmodified.

    MIT License

    Copyright (c) TencentGameMate

    Permission is hereby granted, free of charge, to any person obtaining a
    copy of this software and associated documentation files (the "Software"),
    to deal in the Software without restriction, including without limitation
    the rights to use, copy, modify, merge, publish, distribute, sublicense,
    and/or sell copies of the Software, and to permit persons to whom the
    Software is furnished to do so, subject to the following conditions:

    The above copyright notice and this permission notice shall be included in
    all copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
    FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
    DEALINGS IN THE SOFTWARE.

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4. Chinese RoBERTa-wwm-ext-large  --  chinese-roberta-wwm-ext-large
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Authors : Joint Laboratory of HIT and iFLYTEK Research (HFL)
Source  : https://huggingface.co/hfl/chinese-roberta-wwm-ext-large
Upstream: https://github.com/ymcui/Chinese-BERT-wwm
Licence : Apache License, Version 2.0
Notes   : Text feature encoder. Redistributed unmodified; no changes have been
          made to the model weights or configuration files.

    Copyright the Joint Laboratory of HIT and iFLYTEK Research (HFL)

    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.

    Academic citation (requested by the authors):

    Cui, Y., Che, W., Liu, T., Qin, B., Wang, S., & Hu, G. (2020).
    "Revisiting Pre-Trained Models for Chinese Natural Language Processing."
    Findings of EMNLP 2020. Association for Computational Linguistics.

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5. ERes2NetV2 speaker verification model
   --  pretrained_eres2netv2w24s4ep4.ckpt
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Project : 3D-Speaker
Authors : Speech Lab, Alibaba Group / ModelScope
Source  : https://github.com/modelscope/3D-Speaker
Weights : https://modelscope.cn/models/iic/
          speech_eres2netv2w24s4ep4_sv_zh-cn_16k-common
Licence : Apache License, Version 2.0
Notes   : Speaker-verification embedding model trained on a 200k-speaker
          dataset. Redistributed unmodified.

    Copyright Alibaba Group Holding Limited / ModelScope

    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.

    Academic citation (requested by the authors):

    Chen, Y., Zheng, S., Wang, H., Cheng, L., Chen, Q., et al. (2024).
    "ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with
    Computational Efficiency." arXiv:2406.02167.

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STATEMENT OF MODIFICATIONS
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All model weight files listed above are redistributed in unmodified form. No
changes have been made to the weights, architecture definitions, or accompanying
configuration files. Where VoiceClone repackages these files (for example into a
single archive for distribution convenience), the file contents are byte-for-byte
identical to the upstream originals.

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DISCLAIMER
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Each model above is provided by its respective authors on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. The
authors and copyright holders of these models are not affiliated with
VoiceClone, do not endorse it, and bear no liability arising from its use.

Users of VoiceClone are solely responsible for ensuring they hold the necessary
rights, permissions and consents for any voice they record, clone, synthesise or
distribute using this software.

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6. Accent pronunciation dictionaries  --  studio/accents/en_UK.txt, en_US.txt
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Project : ipa-dict (open-dict-data)
Source  : https://github.com/open-dict-data/ipa-dict
Licence : MIT License ("All material in this repository released under the MIT
          license unless otherwise specified" - the English datasets carry no
          other specification)
Notes   : Wordlist data only (65,119 UK + 125,927 US entries). Used to SUGGEST
          pronunciations; never touches the voice model or audio pipeline.
