Datasets:

realnetworks-kontxt
/

fleurs-hs-vits

Tasks:

Audio Classification

Languages:

Size Categories:

ArXiv:

Tags:

speech-classifiation

multilingualism

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fleurs-hs-vits / fleurs-hs-vits.py

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	# Copyright 2024 RealNetworks

	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at

	# http://www.apache.org/licenses/LICENSE-2.0

	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,
	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
	# See the License for the specific language governing permissions and
	# limitations under the License.


	from pathlib import Path
	from typing import (
	Any,
	Dict,
	Iterable,
	List,
	Tuple,
	)

	from datasets import (
	Audio,
	BuilderConfig,
	DatasetInfo,
	Features,
	GeneratorBasedBuilder,
	Split,
	SplitGenerator,
	Value,
	)
	from datasets.download.download_manager import (
	ArchiveIterable,
	DownloadManager,
	)


	class FLEURSHSVITSConfig(BuilderConfig):
	def __init__(
	self,
	name,
	**kwargs,
	):
	super(
	FLEURSHSVITSConfig,
	self,
	).__init__(
	name=name,
	**kwargs,
	)


	class FLEURSHSVITSDataset(GeneratorBasedBuilder):
	DEFAULT_CONFIG_NAME = "en_us"

	BUILDER_CONFIGS = [
	FLEURSHSVITSConfig(name=name)
	for name in (
	"de_de",
	"en_us",
	"es_419",
	"fr_fr",
	"it_it",
	"nl_nl",
	"pl_pl",
	"sv_se",
	)
	]

	def get_audio_archive_path(
	self,
	) -> Path:
	return Path("data") / self.config.name / "splits" / "test.tar.gz"

	def _info(self) -> DatasetInfo:
	return DatasetInfo(
	description="FLEURS Human-Synthetic VITS test dataset",
	features=Features(
	{
	"audio": Audio(sampling_rate=16000),
	"label": Value("string"),
	}
	),
	supervised_keys=None,
	homepage="https://huggingface.co/datasets/realnetworks-kontxt/fleurs-hs-vits",
	license="CC BY 4.0",
	citation="\n".join(
	(
	"@inproceedings{dropuljic-ssdww2v2ivls",
	"author={Dropuljić, Branimir and Šuflaj, Miljenko and Jertec, Andrej and Obadić, Leo}",
	"booktitle={2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)}",
	"title={Synthetic speech detection with Wav2Vec 2.0 in various language settings}",
	"year={2024}",
	"volume={}",
	"number={}",
	"pages={1-5}",
	"keywords={Synthetic speech detection;text-to-speech;wav2vec 2.0;spoofing attack;multilingualism}",
	"doi={}", # TODO: Add DOI once known
	"}",
	)
	),
	)

	def _split_generators(
	self,
	download_manager: DownloadManager,
	) -> List[SplitGenerator]:
	archive_iterable = self.get_audio_archive_path()
	archive_iterable = download_manager.download(archive_iterable)
	archive_iterable = download_manager.iter_archive(archive_iterable)

	return [
	SplitGenerator(
	name=Split.TEST,
	gen_kwargs={
	"archive_iterable": archive_iterable,
	},
	),
	]

	def _generate_examples(
	self,
	archive_iterable: ArchiveIterable,
	) -> Iterable[Tuple[int, Dict[str, Any]]]:
	current_index = 0
	for audio_path, audio_file in archive_iterable:
	yield current_index, {
	"audio": {
	"path": audio_path,
	"bytes": audio_file.read(),
	},
	"label": "synthetic",
	}

	current_index += 1