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Datasets:
MTUCI
/
LRLspoof

Tasks:
Audio Classification
Languages:
Abkhaz
Armenian
Assamese
Size:
1M<n<10M
ArXiv:
Tags:
antispoofing
License:
Dataset card Files
xet
Community
2
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

LRLspoof: Low-Resource Language Spoofing Dataset

A large-scale speech deepfake / anti-spoofing dataset for low-resource and multilingual languages. The dataset contains synthetic (TTS-generated) speech from multiple text-to-speech systems across many languages, intended for training and evaluating audio deepfake detection and anti-spoofing models.

Languages: abkhazian, armenian, assamese, australian, avar, azerbaijanian, bashkir, belarusian, bodo, brazilian, bulgarian, catalan, chechen, chuvash, crimean, croatian, czech, danish, dutch, english, erzya, farsi, finnish, french, georgian, gujarati, hindi, hungarian, icelandic, indonesian, italian, japan, kalmyk, karachai_balkar, kazakh, khakassky, korean, kyrgyz, latvian, lezgian, lithuanian, luxembourgish, malasian, malayalam, manipuri, mari, marathi, moksha, nepali, nogai, norwegian, odia, ossetian, polish, rajasthani, russian, slovenian, spanish, swahili, tatar, telugu, turkmen, tuvan, uzbek, welsh, yakut.

Models: aHoTTS, Chatterbox, Crimean Tatar (Qirimtatar) TTS, eSpeak NG, Fast Pitch, F5-TTS, FishAudio S1, Fun-CosyVoice 3.0, IMS-Toucan, Indic-TTS, Kokoro, Matcha-TTS, MeloTTS, MMS TTS, OuteTTS, Parler-TTS, Piper, RHVoice, Silero TTS, SpeechT5, TurkicTTS, XTTS-v2, Zonos.

Overview

  • Purpose: Benchmark and develop anti-spoofing / deepfake detection systems for under-resourced and multilingual settings.
  • Content: Synthetic speech utterances generated by various TTS models, with transcriptions.
  • Structure: One directory per language, under it one directory per TTS model (or model part). Each model folder contains:
    • Audio: .wav files (e.g. 1.wav, 2.wav, …).
    • Transcriptions: a .txt file (one sentence per line, aligned with the audio indices where applicable).

Statistics

  • Number of languages: 66
  • Number of TTS systems: 23
  • Total hours: 2732.17

Total audio duration (hours) by TTS model:

Duration by TTS model

Total audio duration (hours) by language:

Duration by language

Table 5. Summary SRR (%) aggregated across languages. MSRR (All): mean SRR across all languages; PSRR (All): pooled SRR across all languages; MSRR (Low): mean SRR across low-resource languages; PSRR (Low): pooled SRR across low-resource languages. Higher is better for all metrics.

Model MSRR (All) PSRR (All) MSRR (Low) PSRR (Low)
AASIST3 90.40 91.40 93.28 94.28
DF Arena 1B 71.07 70.53 73.62 74.89
DF Arena 500M 63.47 58.50 67.31 62.47
Rest2TCNGuard 33.07 35.37 37.38 42.94
ResCapsGuard 41.29 40.56 40.81 40.65
XSLS 36.04 34.85 39.66 39.97
Wav2Vec+AASIST 45.62 43.48 50.09 49.34
TCM-ADD 45.93 43.20 51.30 49.66
Nes2Net 34.23 30.85 38.34 35.61
wav2vec2-xls-r-1b-DeepFake-AI4TRUST 26.79 26.07 30.28 30.14
wav2vec2-xls-r-300m-deepfake-V1 80.51 78.32 83.90 81.29
Spectra-0 97.11 97.47 96.67 97.23

Dataset Structure 

lrl_spoof/
├── <language_1>/          # e.g. english, polish, hindi
│   ├── <model_1>/         # e.g. pipertts, kokoro_part1
│   │   ├── 1.wav
│   │   ├── 2.wav
│   │   └── ...
│   ├── <model_1>.txt     # transcriptions for model_1 (when present)
│   ├── <model_2>/
│   └── ...
├── <language_2>/
└── ...
  • Path to a given subset: lrl_spoof/<language>/<model>/ (audio) and lrl_spoof/<language>/<model>.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:]

# Example: if parts are named lrl_spoof.tar.gz.part_aa, .part_ab, ...
cat lrl_spoof.tar.gz.part_* > lrl_spoof.tar.gz

Unpacking 

tar -xzf lrl_spoof.tar.gz

Contact

Citation

If you use this dataset in your research, please cite the accompanying paper:

@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).

# 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
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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
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Paper for MTUCI/LRLspoof