Download NOTICE from loudreader/loudr-1: direct link, hf CLI and curl.
- Browser
- Download file 12.4 kB
-
https://huggingface.co/loudreader/loudr-1/resolve/main/NOTICE
- Command line
-
hf download hf://loudreader/loudr-1/NOTICE
-
curl -L -o NOTICE https://huggingface.co/loudreader/loudr-1/resolve/main/NOTICE
12.4 kB
| loudkit | |
| Copyright 2026 LoudReader | |
| This product includes software developed at LoudReader. | |
| Licensed under the Apache License, Version 2.0. See LICENSE. | |
| -------------------------------------------------------------------------------- | |
| Third-party notices | |
| -------------------------------------------------------------------------------- | |
| Chatterbox TTS | |
| Copyright (c) 2025 Resemble AI | |
| Licensed under the MIT License. | |
| https://github.com/resemble-ai/chatterbox | |
| The weights distributed with this project — the `loudr` series — are derived | |
| from Chatterbox and optimised for real-time synthesis. Parts of the pipeline | |
| were retrained; others, among them the tokenizer and speaker encoder that | |
| enrollment uses, are carried from the upstream artefact unchanged and are | |
| redistributed here under the MIT terms above. | |
| The architectures in `python/loudkit/models/` are reimplementations written | |
| against those weights; they are not copies of the upstream source, but the | |
| weights they load could not exist without it. | |
| Voice profiles | |
| The shipped voice profiles — twenty-eight enrollments across ten | |
| languages, | |
| distributed on the Hugging Face repository under voices/profiles/ — | |
| are enrolled from the recordings catalogued in | |
| `docs/voices/roster/provenance.json`, which records donor or speaker, | |
| source, licence, consent basis, reference construction and sha256 for | |
| every profile, reference and sample. None of them are Chatterbox | |
| artefacts. Every source below was recorded or released for speech- | |
| technology use, and each profile ships under its own terms: | |
| OHF-Voice / NabuCasa voice-datasets — CC0-1.0 | |
| https://github.com/NabuCasa/voice-datasets | |
| Voice donations recorded expressly for building TTS voices: | |
| darkman, gosia (pl); joe, kathleen (en); kerstin (de); | |
| pim, nathalie (nl); dave (es); paola (it); tugao (pt). | |
| The kathleen reference reads prompts from the CMU ARCTIC prompt | |
| list; those prompt texts come from public-domain novels and impose | |
| no restriction on the recording itself. | |
| Thorsten-Voice, TV-44kHz-Full — CC0-1.0 | |
| https://huggingface.co/datasets/Thorsten-Voice/TV-44kHz-Full | |
| thorsten (de), under the donor's own public-domain dedication. | |
| NST Swedish and NST Danish speech databases — CC0-1.0 | |
| Språkbanken, National Library of Norway: | |
| https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-17/ | |
| https://huggingface.co/datasets/alexandrainst/nst-da | |
| nils, selma (sv); soren, freja (da). | |
| Kyutai tts-voices — CC-BY-4.0 | |
| https://huggingface.co/kyutai/tts-voices | |
| henri, colette (fr). | |
| Kyutai Voice Donations — CC0-1.0 | |
| https://huggingface.co/kyutai/tts-voices, under voice-donations/ | |
| clara, emma, henry, lucy, miles, oliver, oscar, sophie (en). | |
| Donations to the Unmute Voice Donation Project, whose terms | |
| expressly cover speech synthesis, voice embeddings and commercial | |
| use: | |
| https://kyutai.org/legal/Terms%20of%20Use%20-%20Unmute%20Voice%20Donation%20Project%20v1.pdf | |
| The names above are product aliases, not donor identities; the | |
| roster records each donation's speaker id, revision and sha256. | |
| CML-TTS — CC-BY-4.0 | |
| https://huggingface.co/datasets/ylacombe/cml-tts | |
| carmen (es), ines (pt). LibriVox-derived recordings; the dataset's | |
| terms credit the original LibriVox readers. | |
| Multilingual LibriSpeech — CC-BY-4.0 | |
| https://huggingface.co/datasets/facebook/multilingual_librispeech | |
| dante (it). LibriVox-derived; likewise credits the readers. | |
| Voice encoder (`ve.safetensors`) | |
| The 5.7 MB utterance voice encoder that drives voice cloning is an export | |
| of the `VoiceEncoder` model from the Chatterbox T3 architecture (Resemble | |
| AI, MIT — see above), produced by this project's own enrollment export | |
| (this project's enrollment export tooling). It is a | |
| derived work of the Chatterbox weights and is redistributed under the same | |
| MIT terms. | |
| `docs/PROVENANCE-voice-encoder.md` records the artefact's size and sha256, | |
| its tensors, the upstream repository and licence, and an exact tensor match | |
| with ResembleAI/chatterbox revision | |
| 5bb1f6ee58e50c3b8d408bc82a6d3740c2db6e18. The original export's checkout | |
| revision was not recorded. | |
| MIT License text: | |
| 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. | |
| Enrollment architectures | |
| `python/loudkit/models/enroll.py` reimplements four inference paths whose | |
| designs come from the projects below. The weights those modules load are | |
| part of the Chatterbox-derived checkpoint (MIT, above); what is owed here is | |
| attribution for the architectures, all of them permissively licensed and all | |
| compatible with this project's Apache-2.0 terms. | |
| CosyVoice — Apache License 2.0 | |
| Copyright FunAudioLLM / Alibaba Group | |
| https://github.com/FunAudioLLM/CosyVoice | |
| The S3 speech tokenizer's shape (whisper-style encoder, FSQ quantiser, | |
| 25 Hz token rate) and the matcha-recipe mel the flow conditions on. | |
| S3Tokenizer — Apache License 2.0 | |
| Copyright Xingchen Song | |
| https://github.com/xingchensong/S3Tokenizer | |
| The standalone tokenizer extraction this port follows, including the | |
| FSMN memory over the attention values. | |
| 3D-Speaker (CAM++) — Apache License 2.0 | |
| Copyright ModelScope / Alibaba Group | |
| https://github.com/modelscope/3D-Speaker | |
| The CAM++ x-vector encoder: FCM front end, TDNN-dense body with | |
| context-aware masking, statistics pooling. | |
| FunASR — MIT License | |
| Copyright ModelScope / Alibaba Group | |
| https://github.com/modelscope/FunASR | |
| The FSMN formulation the tokenizer's attention block carries. | |
| Real-Time-Voice-Cloning — MIT License | |
| Modified & original work Copyright (c) 2019 Corentin Jemine | |
| Original work Copyright (c) 2018 Rayhane Mama | |
| Original work Copyright (c) 2019 fatchord | |
| Original work Copyright (c) 2015 braindead | |
| https://github.com/CorentinJ/Real-Time-Voice-Cloning | |
| The utterance voice encoder: 3-layer LSTM over 40-mel partials, | |
| L2-normalised, which is the recipe its weights were trained against. | |
| CMUdict (Carnegie Mellon Pronouncing Dictionary) | |
| Copyright (C) 1993-2015 Carnegie Mellon University. All rights reserved. | |
| `python/loudkit/models/data/pl_en_respell.json` is generated from CMUdict by | |
| `tools/gen_pl_respell.py`, which maps ARPAbet phonemes to Polish | |
| orthography. It is a derived work and it ships in the distribution, so the | |
| notice below is reproduced as clause 2 requires. | |
| Redistribution and use in source and binary forms, with or without | |
| modification, are permitted provided that the following conditions | |
| are met: | |
| 1. Redistributions of source code must retain the above copyright | |
| notice, this list of conditions and the following disclaimer. | |
| The contents of this file are deemed to be source code. | |
| 2. Redistributions in binary form must reproduce the above copyright | |
| notice, this list of conditions and the following disclaimer in | |
| the documentation and/or other materials provided with the | |
| distribution. | |
| This work was supported in part by funding from the Defense Advanced | |
| Research Projects Agency, the Office of Naval Research and the | |
| National Science Foundation of the United States of America, and by | |
| member companies of the Carnegie Mellon Sphinx Speech Consortium. We | |
| acknowledge the contributions of many volunteers to the expansion and | |
| improvement of this dictionary. | |
| THIS SOFTWARE IS PROVIDED BY CARNEGIE MELLON UNIVERSITY ``AS IS'' AND | |
| ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, | |
| THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR | |
| PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL CARNEGIE MELLON UNIVERSITY | |
| NOR ITS EMPLOYEES BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, | |
| SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT | |
| LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, | |
| DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY | |
| THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | |
| (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | |
| OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
| Unicode CLDR | |
| Copyright © 1991-2026 Unicode, Inc. All rights reserved. | |
| Licensed under the Unicode License v3 — https://www.unicode.org/license.txt | |
| `tests/data/cldr/*.ssv` are CLDR's own RBNF spellout test data, imported | |
| verbatim with their copyright header intact, and `tests/data/conformance/numbers_cldr.json` is the | |
| subset mapped onto rulesets this project implements. Test corpus only: none | |
| of it is read at runtime and none of it ships in the wheel or the sdist. It | |
| is a differential test corpus, independent of this implementation. | |
| NST pronunciation lexicons | |
| The Swedish, Danish and Norwegian NST lexicons that | |
| `research/fetch_nst_lexicons.py` downloads are public domain (CC0), from | |
| Språkbanken Tal. They are fetched on demand and never vendored, so nothing | |
| of theirs is redistributed here. | |
| Philox-4x32-10 | |
| The counter-based random number generator in `python/loudkit/rng.py` implements | |
| the algorithm described in: | |
| J. K. Salmon, M. A. Moraes, R. O. Dror, D. E. Shaw. | |
| "Parallel Random Numbers: As Easy as 1, 2, 3." SC11, 2011. | |
| The known-answer test vectors are from the Random123 reference library | |
| (D. E. Shaw Research), used for verification only. | |
| DSP filterbank and window tables | |
| `python/loudkit/models/data/dsp/*.f32`, and the copies each port carries | |
| (`swift/LoudKit/Resources/*.f32`, `rust/src/enroll_data/*.f32`, | |
| `go/enroll/data/*.f32`, `js/src/dspData.ts`), are | |
| numeric tables generated by `tools/gen_dsp_assets.py`. They are precomputed | |
| rather than derived at runtime so that five implementations multiply exactly | |
| the same numbers; the values come from four upstreams: | |
| librosa (ISC) — `librosa.filters.mel`, the Slaney-style mel filterbanks | |
| for the mel decoder (24 kHz / 1920-point) and the utterance voice | |
| encoder (16 kHz / 400-point). | |
| PyTorch and SciPy (BSD-3-Clause) — `torch.hann_window` and | |
| `scipy.signal.get_window`, the analysis windows, including the | |
| Povey variant (a Hann window raised to 0.85). | |
| Kaldi, via torchaudio's `torchaudio.compliance.kaldi` (Apache-2.0) — | |
| `get_mel_banks`, the speaker-encoder filterbank. | |
| Chatterbox (MIT) — the S3 tokenizer's mel filterbank, read out of the | |
| upstream checkpoint rather than recomputed, so the tokenizer sees the | |
| filters it was trained with. | |
| Every one of these licences is compatible with Apache-2.0; Kaldi and librosa | |
| ask that attribution travel with the values, which is what this section is. | |
| `python/loudkit/models/data/dsp/manifest.json` records the same provenance per file. | |