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Browse files- README.md +175 -0
- data/de_de/LICENSE_css10-vits-neon +26 -0
- data/de_de/LICENSE_thorsten-vits +201 -0
- data/de_de/recording-metadata.csv +0 -0
- data/de_de/recording-transcripts.csv +0 -0
- data/de_de/splits/test.tar.gz +3 -0
- data/de_de/voice-metadata.csv +3 -0
- data/en_us/LICENSE_ljspeech-vits +201 -0
- data/en_us/LICENSE_ljspeech-vits-neon +26 -0
- data/en_us/recording-metadata.csv +0 -0
- data/en_us/recording-transcripts.csv +0 -0
- data/en_us/splits/test.tar.gz +3 -0
- data/en_us/voice-metadata.csv +3 -0
- data/es_419/LICENSE_css10-vits +26 -0
- data/es_419/recording-metadata.csv +0 -0
- data/es_419/recording-transcripts.csv +0 -0
- data/es_419/splits/test.tar.gz +3 -0
- data/es_419/voice-metadata.csv +2 -0
- data/fr_fr/LICENSE_css10-vits +26 -0
- data/fr_fr/recording-metadata.csv +0 -0
- data/fr_fr/recording-transcripts.csv +0 -0
- data/fr_fr/splits/test.tar.gz +3 -0
- data/fr_fr/voice-metadata.csv +2 -0
- data/it_it/LICENSE_mai_female-vits +202 -0
- data/it_it/LICENSE_mai_male-vits +202 -0
- data/it_it/recording-metadata.csv +0 -0
- data/it_it/recording-transcripts.csv +0 -0
- data/it_it/splits/test.tar.gz +3 -0
- data/it_it/voice-metadata.csv +3 -0
- data/nl_nl/LICENSE_css10-vits +26 -0
- data/nl_nl/recording-metadata.csv +0 -0
- data/nl_nl/recording-transcripts.csv +0 -0
- data/nl_nl/splits/test.tar.gz +3 -0
- data/nl_nl/voice-metadata.csv +2 -0
- data/pl_pl/LICENSE_mai_female-vits +26 -0
- data/pl_pl/recording-metadata.csv +0 -0
- data/pl_pl/recording-transcripts.csv +0 -0
- data/pl_pl/splits/test.tar.gz +3 -0
- data/pl_pl/voice-metadata.csv +2 -0
- data/sv_se/LICENSE_cv-vits +26 -0
- data/sv_se/recording-metadata.csv +0 -0
- data/sv_se/recording-transcripts.csv +0 -0
- data/sv_se/splits/test.tar.gz +3 -0
- data/sv_se/voice-metadata.csv +2 -0
- fleurs-hs-vits.py +158 -0
README.md
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---
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license: cc-by-4.0
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task_categories:
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- audio-classification
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language:
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- de
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- en
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- es
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- fr
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- it
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- nl
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- pl
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- sv
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tags:
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- speech
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- speech-classifiation
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- text-to-speech
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- spoofing
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- multilingualism
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pretty_name: FLEURS-HS VITS
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size_categories:
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- 10K<n<100K
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---
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# FLEURS-HS VITS
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An extension of the [FLEURS](https://huggingface.co/datasets/google/fleurs) dataset for synthetic speech detection using text-to-speech, featured in the paper **Synthetic speech detection with Wav2Vec 2.0 in various language settings**.
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This dataset is 1 of 3 used in the paper, the others being:
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- [FLEURS-HS](https://huggingface.co/datasets/realnetworks-kontxt/fleurs-hs)
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- the default train, dev and test sets
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- separated due to different licensing
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- [ARCTIC-HS](https://huggingface.co/datasets/realnetworks-kontxt/arctic-hs)
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- extension of the [CMU_ARCTIC](http://festvox.org/cmu_arctic/) and [L2-ARCTIC](https://psi.engr.tamu.edu/l2-arctic-corpus/) sets in a similar manner
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## Dataset Details
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### Dataset Description
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The dataset features 8 languages originally seen in FLEURS:
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- German
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- English
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- Spanish
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- French
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- Italian
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- Dutch
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- Polish
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- Swedish
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The original FLEURS samples are used as `human` samples, while `synthetic` samples are generated using:
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- [Google Cloud Text-To-Speech](https://cloud.google.com/text-to-speech)
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- [Azure Text-To-Speech](https://azure.microsoft.com/en-us/products/ai-services/text-to-speech)
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- [Amazon Polly](https://aws.amazon.com/polly/)
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The resulting dataset features roughly twice the samples per language (every `human` sample usually has its `synthetic` counterpart).
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- **Curated by:** [KONTXT by RealNetworks](https://realnetworks.com/kontxt)
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- **Funded by:** [RealNetworks](https://realnetworks.com/)
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- **Language(s) (NLP):** English, German, Spanish, French, Italian, Dutch, Polish, Swedish
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- **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) for the code, [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) for the dataset (but various licenses depending on the source for VITS samples)
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### Dataset Sources
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The original FLEURS dataset was downloaded from [HuggingFace](https://huggingface.co/datasets/google/fleurs).
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- **FLEURS Repository:** [HuggingFace](https://huggingface.co/datasets/google/fleurs)
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- **FLEURS Paper:** [arXiv](https://arxiv.org/abs/2205.12446)
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- **Paper:** Synthetic speech detection with Wav2Vec 2.0 in various language settings
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## Uses
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This dataset is best used as a difficult test set. Each sample contains an `Audio` feature, and a label: `human` or `synthetic`.
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### Direct Use
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The following snippet of code demonstrates loading the training split for English:
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```python
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from datasets import load_dataset
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fleurs_hs = load_dataset(
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"realnetworks-kontxt/fleurs-hs-vits",
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"en_us",
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split="test",
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trust_remote_code=True,
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)
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```
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To load a different language, change `en_us` into one of the following:
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- `de_de` for German
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- `es_419` for Spanish
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- `fr_fr` for French
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- `it_it` for Italian
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- `nl_nl` for Dutch
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- `pl_pl` for Polish
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- `sv_se` for Swedish
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This dataset only has a `test` split.
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To load only the synthetic samples, append `_without-human` to the name. For example, `en_us` will load the test set also containing the original English FLEURS samples, while `en_us_without-human` will only load the synthetic VITS samples. This is useful if you simply want to include the VITS samples into the original FLEURS-HS test set without duplicating human samples.
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The `trust_remote_code=True` parameter is necessary because this dataset uses a custom loader. To check out which code is being ran, check out the [loading script](./fleurs-hs-vits.py).
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## Dataset Structure
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The dataset data is contained in the [data directory](https://huggingface.co/datasets/realnetworks-kontxt/fleurs-hs-vits/tree/main/data).
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There exists 1 directory per language.
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Within those directories, there is a directory named `splits`; it contains 1 file per split:
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- `test.tar.gz`
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Those `.tar.gz` files contain 2 or more directories:
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- `human`
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- 1 or more directories named after the VITS model being used, ex. `thorsten-vits`
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Each of these directories contain `.wav` files. Keep in mind that these directories can't be merged as they share most of their file names. An identical file name implies a speaker-voice pair, ex. `human/123.wav` and `thorsten-vits/123.wav`.
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Finally, back to the language directory, it contains 3 metadata files, which are not used in the loaded dataset, but might be useful to researchers:
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- `recording-metadata.csv`
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- contains the transcript ID, file name, split and gender of the original FLEURS samples
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- `recording-transcripts.csv`
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- contains the transcrpits of the original FLEURS samples
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- `voice-metadata.csv`
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- contains the groupation of TTS' used alongside the splits they were used for
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### Sample
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A sample contains contains an Audio feature `audio`, and a string `label`.
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```
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{
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'audio': {
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'path': 'ljspeech-vits/1003119935936341070.wav',
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'array': array([-0.00048828, -0.00106812, -0.00164795, ..., 0., 0., 0.]),
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'sampling_rate': 16000
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},
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'label': 'synthetic'
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}
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```
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## Citation
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The dataset is featured alongside our paper, **Synthetic speech detection with Wav2Vec 2.0 in various language settings**, which will be published on IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). We'll provide links once it's available online.
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**BibTeX:**
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Note, the following BibTeX is incomplete - we'll update it once the actual one is known.
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```
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@inproceedings{dropuljic-ssdww2v2ivls
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author={Dropuljić, Branimir and Šuflaj, Miljenko and Jertec, Andrej and Obadić, Leo}
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booktitle={2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)}
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title={Synthetic speech detection with Wav2Vec 2.0 in various language settings}
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year={2024}
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volume={}
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number={}
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pages={1-5}
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keywords={Synthetic speech detection;text-to-speech;wav2vec 2.0;spoofing attack;multilingualism}
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doi={}
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}
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```
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## Dataset Card Authors
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- [Miljenko Šuflaj](https://huggingface.co/suflaj)
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## Dataset Card Contact
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- [Miljenko Šuflaj](mailto:[email protected])
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data/de_de/LICENSE_css10-vits-neon
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Copyright (c) 2023, https://github.com/NeonGeckoCom
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice,
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this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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* Neither the name of Neon AI nor the names of its contributors may be
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used to endorse or promote products derived from this software without
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specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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POSSIBILITY OF SUCH DAMAGE.
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data/de_de/LICENSE_thorsten-vits
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Apache License
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Version 2.0, January 2004
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http://www.apache.org/licenses/
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TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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1. Definitions.
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"License" shall mean the terms and conditions for use, reproduction,
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and distribution as defined by Sections 1 through 9 of this document.
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"Licensor" shall mean the copyright owner or entity authorized by
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the copyright owner that is granting the License.
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"Legal Entity" shall mean the union of the acting entity and all
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other entities that control, are controlled by, or are under common
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control with that entity. For the purposes of this definition,
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"control" means (i) the power, direct or indirect, to cause the
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direction or management of such entity, whether by contract or
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|
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data/en_us/LICENSE_ljspeech-vits-neon
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Copyright (c) 2023, https://github.com/NeonGeckoCom
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this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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used to endorse or promote products derived from this software without
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Apache License
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data/it_it/LICENSE_mai_male-vits
ADDED
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|
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incurred by, or claims asserted against, such Contributor by reason
|
175 |
+
of your accepting any such warranty or additional liability.
|
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+
|
177 |
+
END OF TERMS AND CONDITIONS
|
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+
|
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+
APPENDIX: How to apply the Apache License to your work.
|
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+
|
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+
To apply the Apache License to your work, attach the following
|
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+
boilerplate notice, with the fields enclosed by brackets "[]"
|
183 |
+
replaced with your own identifying information. (Don't include
|
184 |
+
the brackets!) The text should be enclosed in the appropriate
|
185 |
+
comment syntax for the file format. We also recommend that a
|
186 |
+
file or class name and description of purpose be included on the
|
187 |
+
same "printed page" as the copyright notice for easier
|
188 |
+
identification within third-party archives.
|
189 |
+
|
190 |
+
Copyright 2023 Nicola Landro https://github.com/nicolalandro
|
191 |
+
|
192 |
+
Licensed under the Apache License, Version 2.0 (the "License");
|
193 |
+
you may not use this file except in compliance with the License.
|
194 |
+
You may obtain a copy of the License at
|
195 |
+
|
196 |
+
http://www.apache.org/licenses/LICENSE-2.0
|
197 |
+
|
198 |
+
Unless required by applicable law or agreed to in writing, software
|
199 |
+
distributed under the License is distributed on an "AS IS" BASIS,
|
200 |
+
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
201 |
+
See the License for the specific language governing permissions and
|
202 |
+
limitations under the License.
|
data/it_it/recording-metadata.csv
ADDED
The diff for this file is too large to render.
See raw diff
|
|
data/it_it/recording-transcripts.csv
ADDED
The diff for this file is too large to render.
See raw diff
|
|
data/it_it/splits/test.tar.gz
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c505f62f6da30d615831c614dbc194ddbcf00e46b5bff0e4390e0ad30b1043ec
|
3 |
+
size 645804266
|
data/it_it/voice-metadata.csv
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
tts_vendor,tts_name,tts_engine,tts_split,tts_gender,tts_group
|
2 |
+
coqui,,tts_models/it/mai_female/vits,test,female,0
|
3 |
+
coqui,,tts_models/it/mai_male/vits,test,male,1
|
data/nl_nl/LICENSE_css10-vits
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Copyright (c) 2023, https://github.com/NeonGeckoCom
|
2 |
+
All rights reserved.
|
3 |
+
|
4 |
+
Redistribution and use in source and binary forms, with or without
|
5 |
+
modification, are permitted provided that the following conditions are met:
|
6 |
+
|
7 |
+
* Redistributions of source code must retain the above copyright notice,
|
8 |
+
this list of conditions and the following disclaimer.
|
9 |
+
* Redistributions in binary form must reproduce the above copyright
|
10 |
+
notice, this list of conditions and the following disclaimer in the
|
11 |
+
documentation and/or other materials provided with the distribution.
|
12 |
+
* Neither the name of Neon AI nor the names of its contributors may be
|
13 |
+
used to endorse or promote products derived from this software without
|
14 |
+
specific prior written permission.
|
15 |
+
|
16 |
+
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
17 |
+
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
18 |
+
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
|
19 |
+
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
|
20 |
+
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
|
21 |
+
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
|
22 |
+
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
|
23 |
+
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
|
24 |
+
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
|
25 |
+
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
|
26 |
+
POSSIBILITY OF SUCH DAMAGE.
|
data/nl_nl/recording-metadata.csv
ADDED
The diff for this file is too large to render.
See raw diff
|
|
data/nl_nl/recording-transcripts.csv
ADDED
The diff for this file is too large to render.
See raw diff
|
|
data/nl_nl/splits/test.tar.gz
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a03235aea436bd5c3512a11cebb08f25f1995daa4d699766ce42cff52c651ae0
|
3 |
+
size 150617914
|
data/nl_nl/voice-metadata.csv
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
tts_vendor,tts_name,tts_engine,tts_split,tts_gender,tts_group
|
2 |
+
coqui,,tts_models/nl/css10/vits,test,male,0
|
data/pl_pl/LICENSE_mai_female-vits
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Copyright (c) 2023, https://github.com/NeonGeckoCom
|
2 |
+
All rights reserved.
|
3 |
+
|
4 |
+
Redistribution and use in source and binary forms, with or without
|
5 |
+
modification, are permitted provided that the following conditions are met:
|
6 |
+
|
7 |
+
* Redistributions of source code must retain the above copyright notice,
|
8 |
+
this list of conditions and the following disclaimer.
|
9 |
+
* Redistributions in binary form must reproduce the above copyright
|
10 |
+
notice, this list of conditions and the following disclaimer in the
|
11 |
+
documentation and/or other materials provided with the distribution.
|
12 |
+
* Neither the name of Neon AI nor the names of its contributors may be
|
13 |
+
used to endorse or promote products derived from this software without
|
14 |
+
specific prior written permission.
|
15 |
+
|
16 |
+
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
17 |
+
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
18 |
+
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
|
19 |
+
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
|
20 |
+
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
|
21 |
+
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
|
22 |
+
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
|
23 |
+
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
|
24 |
+
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
|
25 |
+
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
|
26 |
+
POSSIBILITY OF SUCH DAMAGE.
|
data/pl_pl/recording-metadata.csv
ADDED
The diff for this file is too large to render.
See raw diff
|
|
data/pl_pl/recording-transcripts.csv
ADDED
The diff for this file is too large to render.
See raw diff
|
|
data/pl_pl/splits/test.tar.gz
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:338f3d05d60bcb88bd955280ceb112d0121f0978775e7ec02d6aabc21dbeb86f
|
3 |
+
size 306485532
|
data/pl_pl/voice-metadata.csv
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
tts_vendor,tts_name,tts_engine,tts_split,tts_gender,tts_group
|
2 |
+
coqui,,tts_models/pl/mai_female/vits,test,female,0
|
data/sv_se/LICENSE_cv-vits
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Copyright (c) 2023, https://github.com/NeonGeckoCom
|
2 |
+
All rights reserved.
|
3 |
+
|
4 |
+
Redistribution and use in source and binary forms, with or without
|
5 |
+
modification, are permitted provided that the following conditions are met:
|
6 |
+
|
7 |
+
* Redistributions of source code must retain the above copyright notice,
|
8 |
+
this list of conditions and the following disclaimer.
|
9 |
+
* Redistributions in binary form must reproduce the above copyright
|
10 |
+
notice, this list of conditions and the following disclaimer in the
|
11 |
+
documentation and/or other materials provided with the distribution.
|
12 |
+
* Neither the name of Neon AI nor the names of its contributors may be
|
13 |
+
used to endorse or promote products derived from this software without
|
14 |
+
specific prior written permission.
|
15 |
+
|
16 |
+
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
17 |
+
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
18 |
+
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
|
19 |
+
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
|
20 |
+
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
|
21 |
+
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
|
22 |
+
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
|
23 |
+
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
|
24 |
+
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
|
25 |
+
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
|
26 |
+
POSSIBILITY OF SUCH DAMAGE.
|
data/sv_se/recording-metadata.csv
ADDED
The diff for this file is too large to render.
See raw diff
|
|
data/sv_se/recording-transcripts.csv
ADDED
The diff for this file is too large to render.
See raw diff
|
|
data/sv_se/splits/test.tar.gz
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1049da055daec26339f1aaafea84108b15eb683129d201e79332a4e27800ed3c
|
3 |
+
size 354153656
|
data/sv_se/voice-metadata.csv
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
tts_vendor,tts_name,tts_engine,tts_split,tts_gender,tts_group
|
2 |
+
coqui,,tts_models/sv/cv/vits,test,female,0
|
fleurs-hs-vits.py
ADDED
@@ -0,0 +1,158 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Copyright 2024 RealNetworks
|
2 |
+
|
3 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
4 |
+
# you may not use this file except in compliance with the License.
|
5 |
+
# You may obtain a copy of the License at
|
6 |
+
|
7 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
8 |
+
|
9 |
+
# Unless required by applicable law or agreed to in writing, software
|
10 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
11 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
12 |
+
# See the License for the specific language governing permissions and
|
13 |
+
# limitations under the License.
|
14 |
+
|
15 |
+
|
16 |
+
from pathlib import Path
|
17 |
+
from typing import (
|
18 |
+
Any,
|
19 |
+
Dict,
|
20 |
+
Iterable,
|
21 |
+
List,
|
22 |
+
Tuple,
|
23 |
+
)
|
24 |
+
|
25 |
+
from datasets import (
|
26 |
+
Audio,
|
27 |
+
BuilderConfig,
|
28 |
+
DatasetInfo,
|
29 |
+
Features,
|
30 |
+
GeneratorBasedBuilder,
|
31 |
+
Split,
|
32 |
+
SplitGenerator,
|
33 |
+
Value,
|
34 |
+
)
|
35 |
+
from datasets.download.download_manager import (
|
36 |
+
ArchiveIterable,
|
37 |
+
DownloadManager,
|
38 |
+
)
|
39 |
+
|
40 |
+
|
41 |
+
class FLEURSHSVITSConfig(BuilderConfig):
|
42 |
+
def __init__(
|
43 |
+
self,
|
44 |
+
name,
|
45 |
+
**kwargs,
|
46 |
+
):
|
47 |
+
super(
|
48 |
+
FLEURSHSVITSConfig,
|
49 |
+
self,
|
50 |
+
).__init__(
|
51 |
+
name=name,
|
52 |
+
**kwargs,
|
53 |
+
)
|
54 |
+
|
55 |
+
if self.name.endswith("_without-human"):
|
56 |
+
self.without_human = True
|
57 |
+
self.language = "_".join(self.name.split("_")[:-1])
|
58 |
+
else:
|
59 |
+
self.without_human = False
|
60 |
+
self.language = self.name
|
61 |
+
|
62 |
+
|
63 |
+
class FLEURSHSVITSDataset(GeneratorBasedBuilder):
|
64 |
+
DEFAULT_CONFIG_NAME = "en_us_without-human"
|
65 |
+
|
66 |
+
BUILDER_CONFIGS = [
|
67 |
+
FLEURSHSVITSConfig(name=name)
|
68 |
+
for name in (
|
69 |
+
"de_de",
|
70 |
+
"en_us",
|
71 |
+
"es_419",
|
72 |
+
"fr_fr",
|
73 |
+
"it_it",
|
74 |
+
"nl_nl",
|
75 |
+
"pl_pl",
|
76 |
+
"sv_se",
|
77 |
+
"de_de_without-human",
|
78 |
+
"en_us_without-human",
|
79 |
+
"es_419_without-human",
|
80 |
+
"fr_fr_without-human",
|
81 |
+
"it_it_without-human",
|
82 |
+
"nl_nl_without-human",
|
83 |
+
"pl_pl_without-human",
|
84 |
+
"sv_se_without-human",
|
85 |
+
)
|
86 |
+
]
|
87 |
+
|
88 |
+
def get_audio_archive_path(
|
89 |
+
self,
|
90 |
+
) -> Path:
|
91 |
+
return Path("data") / self.config.language / "splits" / "test.tar.gz"
|
92 |
+
|
93 |
+
def _info(self) -> DatasetInfo:
|
94 |
+
return DatasetInfo(
|
95 |
+
description="FLEURS Human-Synthetic VITS test dataset",
|
96 |
+
features=Features(
|
97 |
+
{
|
98 |
+
"audio": Audio(sampling_rate=16000),
|
99 |
+
"label": Value("string"),
|
100 |
+
}
|
101 |
+
),
|
102 |
+
supervised_keys=None,
|
103 |
+
homepage="https://huggingface.co/datasets/realnetworks-kontxt/fleurs-hs-vits",
|
104 |
+
license="CC BY 4.0",
|
105 |
+
citation="\n".join(
|
106 |
+
(
|
107 |
+
"@inproceedings{dropuljic-ssdww2v2ivls",
|
108 |
+
"author={Dropuljić, Branimir and Šuflaj, Miljenko and Jertec, Andrej and Obadić, Leo}",
|
109 |
+
"booktitle={2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)}",
|
110 |
+
"title={Synthetic speech detection with Wav2Vec 2.0 in various language settings}",
|
111 |
+
"year={2024}",
|
112 |
+
"volume={}",
|
113 |
+
"number={}",
|
114 |
+
"pages={1-5}",
|
115 |
+
"keywords={Synthetic speech detection;text-to-speech;wav2vec 2.0;spoofing attack;multilingualism}",
|
116 |
+
"doi={}", # TODO: Add DOI once known
|
117 |
+
"}",
|
118 |
+
)
|
119 |
+
),
|
120 |
+
)
|
121 |
+
|
122 |
+
def _split_generators(
|
123 |
+
self,
|
124 |
+
download_manager: DownloadManager,
|
125 |
+
) -> List[SplitGenerator]:
|
126 |
+
archive_iterable = self.get_audio_archive_path()
|
127 |
+
archive_iterable = download_manager.download(archive_iterable)
|
128 |
+
archive_iterable = download_manager.iter_archive(archive_iterable)
|
129 |
+
|
130 |
+
return [
|
131 |
+
SplitGenerator(
|
132 |
+
name=Split.TEST,
|
133 |
+
gen_kwargs={
|
134 |
+
"archive_iterable": archive_iterable,
|
135 |
+
},
|
136 |
+
),
|
137 |
+
]
|
138 |
+
|
139 |
+
def _generate_examples(
|
140 |
+
self,
|
141 |
+
archive_iterable: ArchiveIterable,
|
142 |
+
) -> Iterable[Tuple[int, Dict[str, Any]]]:
|
143 |
+
current_index = 0
|
144 |
+
for audio_path, audio_file in archive_iterable:
|
145 |
+
label = "human" if Path(audio_path).parent.name == "human" else "synthetic"
|
146 |
+
|
147 |
+
if not self.config.without_human or label == "human":
|
148 |
+
audio = {
|
149 |
+
"path": audio_path,
|
150 |
+
"bytes": audio_file.read(),
|
151 |
+
}
|
152 |
+
|
153 |
+
yield current_index, {
|
154 |
+
"audio": audio,
|
155 |
+
"label": label,
|
156 |
+
}
|
157 |
+
|
158 |
+
current_index += 1
|