--- language: - ab - hy - as - av - az - ba - be - pt - bg - ca - ce - cv - hr - cs - da - nl - en - fa - fi - fr - ka - gu - hi - hu - is - id - it - ja - kk - ko - ky - lv - lt - lb - ms - ml - mr - ne - or - os - pl - ru - sl - es - sw - te - tk - uz - cy - aus - brx - arr - crh - myv - xal - krc - kjh - lez - mni - mhr - mdf - nog - raj - tt - tyv - sah license: mit task_categories: - audio-classification tags: - antispoofing pretty_name: LRL spoof size_categories: - 1M/ # e.g. english, polish, hindi │ ├── / # e.g. pipertts, kokoro_part1 │ │ ├── 1.wav │ │ ├── 2.wav │ │ └── ... │ ├── .txt # transcriptions for model_1 (when present) │ ├── / │ └── ... ├── / └── ... ``` - **Path to a given subset:** `lrl_spoof///` (audio) and `lrl_spoof//.txt` (transcriptions, when present). --- ## Download, Combining Parts, and Unpacking The dataset is distributed as a compressed archive split into **15 GB** parts (e.g. `lrl_spoof.tar.gz.part_aa`, `lrl_spoof.tar.gz.part_ab`, …). Download all parts from the dataset page on Hugging Face or ModelScope. ### Combining parts *[Add the exact filenames and commands you use. Example for Linux/macOS:]* ```bash # Example: if parts are named lrl_spoof.tar.gz.part_aa, .part_ab, ... cat lrl_spoof.tar.gz.part_* > lrl_spoof.tar.gz ``` ### Unpacking ```bash tar -xzf lrl_spoof.tar.gz ``` --- ## Contact - **Email:** k.n.borodin@mtuci.ru - **Telegram channel:** https://t.me/korallll_ai --- ## Citation If you use this dataset in your research, please cite the accompanying paper: ```bibtex @misc{borodin2026spoofdetectorstravelevaluation, title={When Spoof Detectors Travel: Evaluation Across 66 Languages in the Low-Resource Language Spoofing Corpus}, author={Kirill Borodin and Vasiliy Kudryavtsev and Maxim Maslov and Mikhail Gorodnichev and Grach Mkrtchian}, year={2026}, eprint={2603.02364}, archivePrefix={arXiv}, primaryClass={cs.SD}, url={https://arxiv.org/abs/2603.02364}, } ``` ### Checksums To ensure that your download is correct and not corrupted, you can verify SHA256 checksums with the `sha256sum` tool (available on Linux and most Unix-like systems). ```bash # Verify the combined archive sha256sum lrl_spoof.tar.gz # Verify all parts (run in the directory containing the parts) sha256sum lrl_spoof.tar.gz.part_* > lrl_spoof_parts.sha256 cat lrl_spoof_parts.sha256 ``` After combining parts, verify the full archive with the checksum below. You can also verify each part before combining. **Whole archive** (after combining parts into `lrl_spoof.tar.gz`): ``` lrl_spoof.tar.gz 624cba39b9c60d35ec90c9ee4450385ad885ca31c093e9a6de592f5f524e203b ``` **Per-part checksums** (SHA256 of each part file): | Part file | SHA256 | |-----------|--------| | `lrl_spoof.tar.gz.part_aa` | ee37cb5a5de1dcc2226d2a1f7d1b986d81529fd0a6ceac354a13f184ec9a8df0 | | `lrl_spoof.tar.gz.part_ab` | 4704e5020710d4151fe986f510bec861d7ff5cc8e7ee2403c01dca7b0cf9ab74 | | `lrl_spoof.tar.gz.part_ac` | f4973e4bad14f772e7510bc9f8422f86f4538af017f4fb2b83e62500a52a8054 | | `lrl_spoof.tar.gz.part_ad` | 18c09449888f20a25346a5362c77c6aece27ffab1d017789c08fa96d8a9e545f | | `lrl_spoof.tar.gz.part_ae` | 46ed67962bdf454ca506d324a171894b1ab95c48a70e580d112e7aa0a28207c0 | | `lrl_spoof.tar.gz.part_af` | b0a46aa45c13c54b6f29af2e1482236b785beb9f394fe4c397dd44536890a1be | | `lrl_spoof.tar.gz.part_ag` | ab26e02c455caa1966edde60057102847b2d4383b63f6c7fbbc2f2d64b262d1b | | `lrl_spoof.tar.gz.part_ah` | bd92dfdcfae766e3c2a9a3db164a97c573bd72f8caab980861fe7c602d75d8e3 | | `lrl_spoof.tar.gz.part_ai` | ea7da360febfd76fbd7c024e080576bec0c1a4e95b1a42f193317c9fdbb8f968 | | `lrl_spoof.tar.gz.part_aj` | 335504f44b2c9e0747621517c752b4329f2ec9e99afe85886fc88ab93b43a147 | | `lrl_spoof.tar.gz.part_ak` | 8317f9cc2cc7eee4903dcf2238f44a5b13b57ca4bb76a73f475741b195ca05c4 | | `lrl_spoof.tar.gz.part_al` | 830690aa2d432ee8fd0fd6d8cdf603fc2da4988fe646bc9f5584443b5a9b4c8a | | `lrl_spoof.tar.gz.part_am` | 578d6206f12e73df83cb0dfd825e6d7b1975f44119d79b00c0039fb419d70767 | | `lrl_spoof.tar.gz.part_an` | 4d8b8fac6dd72b595e1a8786eb90a15827a8cdab89f3bdb7055d38f9b3c2c9d6 | | `lrl_spoof.tar.gz.part_ao` | 562e5ff609a1043fa08ee842fc71ab5c73988826acc33e5345631bf208570ef9 | | `lrl_spoof.tar.gz.part_ap` | d13604b3e9055037e46166e708c19d07d01c8f6392d148d18cc0da85a0e5daf1 | | `lrl_spoof.tar.gz.part_aq` | d3e61174f56a8b12b9473c2fcc4a0b4e747efc26de685bc1ddcc907ca8632f77 | | `lrl_spoof.tar.gz.part_ar` | 9240f7715d60edbe369fc4db1ee41422a05163f7ea9c8d00c911aa26d34bf2d3 | | `lrl_spoof.tar.gz.part_as` | c7e385fc0d8578143b7e15862a2c3fc35f5ab96bdd2b5462448cbf7014eb28de | | `lrl_spoof.tar.gz.part_at` | e6e6b42db89e06d7e72d2aa8a4046c31019aa38179c56dda38faf911d541fe3e | | `lrl_spoof.tar.gz.part_au` | d492ddd786d0cb24eabbd16af215e87be2d6480b0d5fabf9f42c59bd5232b1bf | | `lrl_spoof.tar.gz.part_av` | a8cb2118b3c7b2ed29aef831bd117ae6342b21424a37fb73ad38bba4c246bb75 | | `lrl_spoof.tar.gz.part_aw` | 4b2f4a9d9ebdbd41be88a296297fd4442c968d717903e5c1b2d867309569b03a | | `lrl_spoof.tar.gz.part_ax` | 1fb78e4aa022f313b375ef7f6cd1111e0ccdcea303be7baa28230de95937f153 | | `lrl_spoof.tar.gz.part_ay` | 00fcb87e7ac8c6057409b438c150ec8c0e32ccd1f01ca8f9f8c3ca8620b67f02 | | `lrl_spoof.tar.gz.part_az` | a93904cf3e9ec2e6e1a0714748286f3215e2d32396ab08831f64f0e04450eae7 | | `lrl_spoof.tar.gz.part_ba` | 5541d5dd7e2d97b45b25881ace22e6d91359e14a7e7aabdd40f4d8665d9d6dcb | | `lrl_spoof.tar.gz.part_bb` | 0e853d7dcccee31aa88e9e087bdf909b87afa4cd76fd561505376375cb7ae42e | | `lrl_spoof.tar.gz.part_bc` | 03ba430fc61596dc4dfe35ddee8dd02d8e9878fa19e34ea8eb99a3d128df8e92 | | `lrl_spoof.tar.gz.part_bd` | ed72149dcd57d80337148e414a38f7b477314f53ceac31e1c3eaa4d2f4876f35 | | `lrl_spoof.tar.gz.part_be` | f078fd3816cb3962285a98a2241d1480c9b22e2ff86e15f760cf594abf1d9d2a | | `lrl_spoof.tar.gz.part_bf` | 517a03f070dfecc2aec3d366c75624b9bc7602f35708e3394e4f65e0c770b0ea | | `lrl_spoof.tar.gz.part_bg` | 50c8c12fc62c1e702ee07ca01ca793fce604ab06d7ae8ab4f5affbea26d0c32b | | `lrl_spoof.tar.gz.part_bh` | 754250885d5e901c2898df2149608430d16559f7d02889f66cda514ee7fbe95c | | `lrl_spoof.tar.gz.part_bi` | 90cb8439c7a966f146f905a94f8969538cd12e95aa304b1d03d31d71a7c12f2a | | `lrl_spoof.tar.gz.part_bj` | 03a3e8ee7b4b4264ffcf6a28d62863f78b3b360ebf3e80eb20251608f5e10828 | | `lrl_spoof.tar.gz.part_bk` | 0043a4ec8d26032a9cfc0cdb90786518c4fc523d9d5320caba7ed8b739251219 | | `lrl_spoof.tar.gz.part_bl` | ad036e4cff44aab51addd99b3f44bbcd3e1b3a43b47da2e78fb2bd7b567c1b85 | | `lrl_spoof.tar.gz.part_bm` | 6ab7e4e597603d3dda0192f20fead863c3f3461535d2003c4e2ccf5ada3f5690 | | `lrl_spoof.tar.gz.part_bn` | f9f17e350d23eb74a5cad5d7f4f07e8117d4a09f9fd6a474c9b67f97433c7fd8 | | `lrl_spoof.tar.gz.part_bo` | 093e585745282be049a5848cf3e599de1f8a80d3ed7068500eb5f0ecf815a7c0 | | `lrl_spoof.tar.gz.part_bp` | c56dda5dd6d5f250bca14542652c26b57d666fb90d7522f6a4e83d3d055780e4 | | `lrl_spoof.tar.gz.part_bq` | 13b67216fe92b3b7d1cc1525fde3881a0b1768a0ccacbedbd23aa31b57e0232a | --- ## Languages and TTS Models Each row is one (model, language) subset. Paths are relative to the dataset root. **Each subset may have a different licence** (see the Licence column); use and redistribution of a subset must comply with the licence of the corresponding source TTS model. **Licences that restrict distribution:** The following licences limit commercial or unrestricted redistribution. Subsets under these licences may be used only in accordance with their terms (typically non‑commercial use only): **CC BY-NC-4.0** (F5-TTS, MMS TTS), **CC BY-NC-SA 4.0** (FishAudio S1, OuteTTS, Silero TTS, TurkicTTS), and **coqui-public-model-license** (XTTS-v2). Subsets under **GPL-2.0** or **GPL-3.0** (e.g. eSpeak NG, Piper, RHVoice) allow distribution under copyleft terms (derivative works must be GPL-licensed). All other listed licences (e.g. Apache-2.0, MIT, BSD-3-Clause) are permissive and do not restrict distribution for research or open use. | Model | Language | Path in dataset | Link to model | Licence | |-------|----------|-----------------|----------------|------| | aHoTTS | catalan | `lrl_spoof/catalan/ahotts/` | https://github.com/hitz-zentroa/aHoTTS| Apache-2.0 | | Chatterbox | finnish | `lrl_spoof/finnish/chatterbox/` |https://github.com/resemble-ai/chatterbox | MIT | | Chatterbox | malasian | `lrl_spoof/malasian/chatterbox/` |https://github.com/resemble-ai/chatterbox | MIT | | Chatterbox | malayalam | `lrl_spoof/malayalam/chatterbox/` |https://github.com/resemble-ai/chatterbox | MIT | | Chatterbox | norwegian | `lrl_spoof/norwegian/chatterbox_part1/` |https://github.com/resemble-ai/chatterbox | MIT | | Chatterbox | norwegian | `lrl_spoof/norwegian/chatterbox_part2/` |https://github.com/resemble-ai/chatterbox | MIT | | Chatterbox | polish | `lrl_spoof/polish/chatterbox_part1/` |https://github.com/resemble-ai/chatterbox | MIT | | Chatterbox | polish | `lrl_spoof/polish/chatterbox_part2/` |https://github.com/resemble-ai/chatterbox | MIT | | Chatterbox | swahili | `lrl_spoof/swahili/chatterbox/` |https://github.com/resemble-ai/chatterbox | MIT | | Fun-CosyVoice 3.0 | japan | `lrl_spoof/japan/cosyvoice3/` |https://github.com/FunAudioLLM/CosyVoice |Apache-2.0 | | Fun-CosyVoice 3.0 | korean | `lrl_spoof/korean/cosyvoice3/` | https://github.com/FunAudioLLM/CosyVoice|Apache-2.0 | | eSpeak NG | armenian | `lrl_spoof/armenian/espeak/` |https://github.com/espeak-ng/espeak-ng | GPL-3.0 | | eSpeak NG | azerbaijanian | `lrl_spoof/azerbaijanian/espeak/` |https://github.com/espeak-ng/espeak-ng |GPL-3.0 | | eSpeak NG | bashkir | `lrl_spoof/bashkir/espeak/` |https://github.com/espeak-ng/espeak-ng |GPL-3.0 | | eSpeak NG | bulgarian | `lrl_spoof/bulgarian/espeak_part1/` |https://github.com/espeak-ng/espeak-ng |GPL-3.0 | | eSpeak NG | bulgarian | `lrl_spoof/bulgarian/espeak_part2/` |https://github.com/espeak-ng/espeak-ng |GPL-3.0 | | eSpeak NG | chuvash | `lrl_spoof/chuvash/espeak/` |https://github.com/espeak-ng/espeak-ng |GPL-3.0 | | eSpeak NG | georgian | `lrl_spoof/georgian/espeak/` |https://github.com/espeak-ng/espeak-ng |GPL-3.0 | | eSpeak NG | kazakh | `lrl_spoof/kazakh/espeak/` |https://github.com/espeak-ng/espeak-ng |GPL-3.0 | | eSpeak NG | kyrgyz | `lrl_spoof/kyrgyz/espeak/` |https://github.com/espeak-ng/espeak-ng |GPL-3.0 | | eSpeak NG | turkmen | `lrl_spoof/turkmen/espeak/` |https://github.com/espeak-ng/espeak-ng |GPL-3.0 | | IMS-Toucan | abkhazian | `lrl_spoof/abkhazian/ims_toucan/` | https://github.com/DigitalPhonetics/IMS-Toucan| Apache-2.0 | | IMS-Toucan | armenian | `lrl_spoof/armenian/ims_toucan/` |https://github.com/DigitalPhonetics/IMS-Toucan |Apache-2.0 | | IMS-Toucan | azerbaijanian | `lrl_spoof/azerbaijanian/ims_toucan/` | https://github.com/DigitalPhonetics/IMS-Toucan|Apache-2.0 | | IMS-Toucan | bashkir | `lrl_spoof/bashkir/ims_toucan/` |https://github.com/DigitalPhonetics/IMS-Toucan |Apache-2.0 | | IMS-Toucan | chuvash | `lrl_spoof/chuvash/ims_toucan/` |https://github.com/DigitalPhonetics/IMS-Toucan |Apache-2.0 | | IMS-Toucan | czech | `lrl_spoof/czech/ims_toucan/` |https://github.com/DigitalPhonetics/IMS-Toucan |Apache-2.0 | | IMS-Toucan | karachai_balkar | `lrl_spoof/karachai_balkar/ims_toucan/` |https://github.com/DigitalPhonetics/IMS-Toucan |Apache-2.0 | | IMS-Toucan | lezgian | `lrl_spoof/lezgian/ims_toucan/` |https://github.com/DigitalPhonetics/IMS-Toucan |Apache-2.0 | | IMS-Toucan | tuvan | `lrl_spoof/tuvan/ims_toucan/` |https://github.com/DigitalPhonetics/IMS-Toucan |Apache-2.0 | | Indic-TTS | assamese | `lrl_spoof/assamese/indictts/` |https://github.com/AI4Bharat/Indic-TTS |MIT | | Indic-TTS | bodo | `lrl_spoof/bodo/indictts/` |https://github.com/AI4Bharat/Indic-TTS |MIT | | Indic-TTS | gujarati | `lrl_spoof/gujarati/indictts/` |https://github.com/AI4Bharat/Indic-TTS |MIT | | Indic-TTS | hindi | `lrl_spoof/hindi/indictts/` |https://github.com/AI4Bharat/Indic-TTS |MIT | | Indic-TTS | malayalam | `lrl_spoof/malayalam/indictts/` |https://github.com/AI4Bharat/Indic-TTS |MIT | | Indic-TTS | manipuri | `lrl_spoof/manipuri/indictts/` |https://github.com/AI4Bharat/Indic-TTS |MIT | | Indic-TTS | marathi | `lrl_spoof/marathi/indictts_part1/` |https://github.com/AI4Bharat/Indic-TTS |MIT | | Indic-TTS | marathi | `lrl_spoof/marathi/indictts_part2/` |https://github.com/AI4Bharat/Indic-TTS |MIT | | Indic-TTS | odia | `lrl_spoof/odia/indictts/` |https://github.com/AI4Bharat/Indic-TTS |MIT | | Indic-TTS | rajasthani | `lrl_spoof/rajasthani/indictts/` |https://github.com/AI4Bharat/Indic-TTS |MIT | | Indic-TTS | telugu | `lrl_spoof/telugu/indictts/` |https://github.com/AI4Bharat/Indic-TTS |MIT | | Fast Pitch | english | `lrl_spoof/english/fastpitch/` |https://github.com/dan-wells/fastpitch | BSD-3-Clause | | F5-TTS | chuvash | `lrl_spoof/chuvash/f5/` | https://huggingface.co/Misha24-10/F5-TTS_CHUVASH | CC BY-NC-4.0 | | FishAudio S1 | polish | `lrl_spoof/polish/fishspeech/` |https://huggingface.co/fishaudio/s1-mini | CC BY-NC-SA-4.0 | | Kokoro | brazilian | `lrl_spoof/brazilian/kokoro/` |https://github.com/hexgrad/kokoro |Apache-2.0 | | Kokoro | english | `lrl_spoof/english/kokoro_part1/` |https://github.com/hexgrad/kokoro |Apache-2.0 | | Kokoro | english | `lrl_spoof/english/kokoro_part2/` |https://github.com/hexgrad/kokoro |Apache-2.0 | | Kokoro | french | `lrl_spoof/french/kokoro_part1/` |https://github.com/hexgrad/kokoro |Apache-2.0 | | Kokoro | french | `lrl_spoof/french/kokoro_part2/` |https://github.com/hexgrad/kokoro |Apache-2.0 | | Kokoro | french | `lrl_spoof/french/kokoro_part3/` |https://github.com/hexgrad/kokoro |Apache-2.0 | | Kokoro | hindi | `lrl_spoof/hindi/kokoro/` |https://github.com/hexgrad/kokoro |Apache-2.0 | | Kokoro | italian | `lrl_spoof/italian/kokoro/` |https://github.com/hexgrad/kokoro |Apache-2.0 | | Kokoro | japan | `lrl_spoof/japan/kokoro/` |https://github.com/hexgrad/kokoro |Apache-2.0 | | Matcha-TTS | kyrgyz | `lrl_spoof/kyrgyz/matcha/` |https://huggingface.co/kyrgyz-ai/akylai-tts-mini | MIT | | MeloTTS | australian | `lrl_spoof/australian/melotts/` | https://github.com/myshell-ai/MeloTTS| MIT | | MeloTTS | english | `lrl_spoof/english/melotts/` |https://github.com/myshell-ai/MeloTTS | MIT | | MeloTTS | japan | `lrl_spoof/japan/melotts/` |https://github.com/myshell-ai/MeloTTS | MIT | | MeloTTS | korean | `lrl_spoof/korean/melotts/` | https://github.com/myshell-ai/MeloTTS| MIT | | MeloTTS | spanish | `lrl_spoof/spanish/melotts/` |https://github.com/myshell-ai/MeloTTS | MIT | | MMS TTS | armenian | `lrl_spoof/armenian/mms_tts/` | https://huggingface.co/facebook/mms-tts-hyw| CC BY-NC-4.0 | | MMS TTS | azerbaijanian | `lrl_spoof/azerbaijanian/mms_tts/` |https://huggingface.co/facebook/mms-tts-azb | CC BY-NC-4.0 | | MMS TTS | bashkir | `lrl_spoof/bashkir/mms_tts/` |https://huggingface.co/facebook/mms-tts-bak |CC BY-NC-4.0 | | MMS TTS | chuvash | `lrl_spoof/chuvash/mms_tts/` |https://huggingface.co/facebook/mms-tts-chv |CC BY-NC-4.0 | | MMS TTS | dutch | `lrl_spoof/dutch/mms_tts/` |https://huggingface.co/facebook/mms-tts-nld |CC BY-NC-4.0 | | MMS TTS | latvian | `lrl_spoof/latvian/mms_tts/` |https://huggingface.co/facebook/mms-tts-lav | CC BY-NC-4.0 | | MMS TTS | yakut | `lrl_spoof/yakut/mms_tts/` |https://huggingface.co/facebook/mms-tts-sah | CC BY-NC-4.0 | | OuteTTS | belarusian | `lrl_spoof/belarusian/outetts/` |https://huggingface.co/unsloth/Llama-OuteTTS-1.0-1B | CC BY-NC-SA-4.0| | OuteTTS | georgian | `lrl_spoof/georgian/outetts/` |https://huggingface.co/unsloth/Llama-OuteTTS-1.0-1B | CC BY-NC-SA-4.0| | OuteTTS | hungarian | `lrl_spoof/hungarian/outetts/` | https://huggingface.co/unsloth/Llama-OuteTTS-1.0-1B| CC BY-NC-SA-4.0| | OuteTTS | lithuanian | `lrl_spoof/lithuanian/outetts/` | https://huggingface.co/unsloth/Llama-OuteTTS-1.0-1B| CC BY-NC-SA-4.0| | OuteTTS | polish | `lrl_spoof/polish/outetts/` |https://huggingface.co/unsloth/Llama-OuteTTS-1.0-1B | CC BY-NC-SA-4.0| | OuteTTS | russian | `lrl_spoof/russian/outetts/` |https://huggingface.co/unsloth/Llama-OuteTTS-1.0-1B | CC BY-NC-SA-4.0| | Parler-TTS | english | `lrl_spoof/english/parlertts_part1/` | https://huggingface.co/parler-tts/parler-tts-mini-multilingual-v1.1|Apache-2.0 | | Parler-TTS | english | `lrl_spoof/english/parlertts_part2/` |https://huggingface.co/parler-tts/parler-tts-mini-multilingual-v1.1 |Apache-2.0 | | Parler-TTS | english | `lrl_spoof/english/parlertts_part3/` |https://huggingface.co/parler-tts/parler-tts-mini-multilingual-v1.1 |Apache-2.0 | | Parler-TTS | french | `lrl_spoof/french/parlertts_part1/` | https://huggingface.co/parler-tts/parler-tts-mini-multilingual-v1.1|Apache-2.0 | | Parler-TTS | french | `lrl_spoof/french/parlertts_part2/` | https://huggingface.co/parler-tts/parler-tts-mini-multilingual-v1.1 |Apache-2.0 | | Parler-TTS | polish | `lrl_spoof/polish/parlertts/` |https://huggingface.co/parler-tts/parler-tts-mini-multilingual-v1.1 |Apache-2.0 | | Piper | catalan | `lrl_spoof/catalan/pipertts/` |https://github.com/OHF-Voice/piper1-gpl | GPL-3.0 | | Piper | czech | `lrl_spoof/czech/pipertts/` |https://github.com/OHF-Voice/piper1-gpl | GPL-3.0 | | Piper | danish | `lrl_spoof/danish/pipertts/` |https://github.com/OHF-Voice/piper1-gpl | GPL-3.0 | | Piper | farsi | `lrl_spoof/farsi/pipertts/` |https://github.com/OHF-Voice/piper1-gpl | GPL-3.0 | | Piper | georgian | `lrl_spoof/georgian/pipertts/` |https://github.com/OHF-Voice/piper1-gpl | GPL-3.0 | | Piper | icelandic | `lrl_spoof/icelandic/pipertts_part1/` |https://github.com/OHF-Voice/piper1-gpl |GPL-3.0 | | Piper | icelandic | `lrl_spoof/icelandic/pipertts_part2/` |https://github.com/OHF-Voice/piper1-gpl |GPL-3.0 | | Piper | icelandic | `lrl_spoof/icelandic/pipertts_part3/` |https://github.com/OHF-Voice/piper1-gpl |GPL-3.0 | | Piper | indonesian | `lrl_spoof/indonesian/pipertts/` |https://github.com/OHF-Voice/piper1-gpl |GPL-3.0 | | Piper | kazakh | `lrl_spoof/kazakh/pipertts_part1/` |https://github.com/OHF-Voice/piper1-gpl |GPL-3.0 | | Piper | kazakh | `lrl_spoof/kazakh/pipertts_part2/` | https://github.com/OHF-Voice/piper1-gpl|GPL-3.0 | | Piper | luxembourgish | `lrl_spoof/luxembourgish/pipertts/` | https://github.com/OHF-Voice/piper1-gpl|GPL-3.0 | | Piper | nepali | `lrl_spoof/nepali/pipertts/` |https://github.com/OHF-Voice/piper1-gpl |GPL-3.0 | | Piper | polish | `lrl_spoof/polish/pipertts/` |https://github.com/OHF-Voice/piper1-gpl |GPL-3.0 | | Piper | slovenian | `lrl_spoof/slovenian/piper/` |https://github.com/OHF-Voice/piper1-gpl |GPL-3.0 | | Piper | welsh | `lrl_spoof/welsh/pipertts/` |https://github.com/OHF-Voice/piper1-gpl |GPL-3.0 | | Crimean Tatar (Qirimtatar) TTS | crimean | `lrl_spoof/crimean/qirimtatar_tts/` | https://github.com/robinhad/qirimtatar-tts| MIT | | RHVoice | kyrgyz | `lrl_spoof/kyrgyz/rhvoice/` |https://github.com/RHVoice/RHVoice | GPL-2.0 | | Silero TTS | avar | `lrl_spoof/avar/silero/` |https://github.com/snakers4/silero-models | CC BY-NC-SA 4.0 | | Silero TTS | bulgarian | `lrl_spoof/bulgarian/silero_part1/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | bulgarian | `lrl_spoof/bulgarian/silero_part2/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | bulgarian | `lrl_spoof/bulgarian/silero_part3/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | chechen | `lrl_spoof/chechen/silero_part1/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | chechen | `lrl_spoof/chechen/silero_part2/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | chuvash | `lrl_spoof/chuvash/silero_part1/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | chuvash | `lrl_spoof/chuvash/silero_part2/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | chuvash | `lrl_spoof/chuvash/silero_part3/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | erzya | `lrl_spoof/erzya/silero/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | kalmyk | `lrl_spoof/kalmyk/silero/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | khakassky | `lrl_spoof/khakassky/silero/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | mari | `lrl_spoof/mari/silero/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | moksha | `lrl_spoof/moksha/silero_part1/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | moksha | `lrl_spoof/moksha/silero_part2/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | moksha | `lrl_spoof/moksha/silero_part3/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | nogai | `lrl_spoof/nogai/silero/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | ossetian | `lrl_spoof/ossetian/silero/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | Silero TTS | yakut | `lrl_spoof/yakut/silero/` |https://github.com/snakers4/silero-models |CC BY-NC-SA 4.0 | | SpeechT5 | croatian | `lrl_spoof/croatian/speecht5_part1/` |https://huggingface.co/nikolab/speecht5_tts_hr | MIT | | SpeechT5 | croatian | `lrl_spoof/croatian/speecht5_part2/` |https://huggingface.co/nikolab/speecht5_tts_hr | MIT | | SpeechT5 | uzbek | `lrl_spoof/uzbek/speecht5/` |https://huggingface.co/Inomjonov/speecht5-finetuned-uzbek-1102 | MIT | | TurkicTTS | azerbaijanian | `lrl_spoof/azerbaijanian/turkic_tts/` | https://github.com/IS2AI/TurkicTTS|CC BY-NC-SA 4.0 | | TurkicTTS | bashkir | `lrl_spoof/bashkir/turkic_tts/` |https://github.com/IS2AI/TurkicTTS |CC BY-NC-SA 4.0 | | TurkicTTS | kazakh | `lrl_spoof/kazakh/turkic_tts/` |https://github.com/IS2AI/TurkicTTS |CC BY-NC-SA 4.0 | | TurkicTTS | tatar | `lrl_spoof/tatar/turkic_tts/` |https://github.com/IS2AI/TurkicTTS |CC BY-NC-SA 4.0 | | TurkicTTS | uzbek | `lrl_spoof/uzbek/turkic_tts/` |https://github.com/IS2AI/TurkicTTS |CC BY-NC-SA 4.0 | | TurkicTTS | yakut | `lrl_spoof/yakut/turkic_tts/` |https://github.com/IS2AI/TurkicTTS |CC BY-NC-SA 4.0 | | XTTS-v2 | czech | `lrl_spoof/czech/xtts/` |https://huggingface.co/coqui/XTTS-v2 | coqui-public-model-license| | XTTS-v2 | hungarian | `lrl_spoof/hungarian/xtts2/` | https://huggingface.co/coqui/XTTS-v2| coqui-public-model-license | | XTTS-v2 | italian | `lrl_spoof/italian/xtts2/` |https://huggingface.co/coqui/XTTS-v2 | coqui-public-model-license | | XTTS-v2 | russian | `lrl_spoof/russian/xtts/` | https://huggingface.co/coqui/XTTS-v2| coqui-public-model-license | | Zonos | japan | `lrl_spoof/japan/zonos/` |https://github.com/Zyphra/Zonos | Apache-2.0 |