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| | import json |
| |
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| | import datasets |
| |
|
| | _DESCRIPTION = """\ |
| | This is a public domain speech dataset consisting of 13,100 short audio |
| | clips of a single speaker reading passages from 7 non-fiction books. A |
| | transcription is provided for each clip. Clips vary in length from 1 to 10 |
| | seconds and have a total length of approximately 24 hours. |
| | """ |
| |
|
| | _BASE_URL = "https://huggingface.co/datasets/flexthink/librig2p-nostress-space/resolve/main" |
| |
|
| | _HOMEPAGE_URL = "https://huggingface.co/datasets/flexthink/ljspeech" |
| |
|
| | _PHONEMES = [ |
| | "AA", |
| | "AE", |
| | "AH", |
| | "AO", |
| | "AW", |
| | "AY", |
| | "B", |
| | "CH", |
| | "D", |
| | "DH", |
| | "EH", |
| | "ER", |
| | "EY", |
| | "F", |
| | "G", |
| | "HH", |
| | "IH", |
| | "IY", |
| | "JH", |
| | "K", |
| | "L", |
| | "M", |
| | "N", |
| | "NG", |
| | "OW", |
| | "OY", |
| | "P", |
| | "R", |
| | "S", |
| | "SH", |
| | "T", |
| | "TH", |
| | "UH", |
| | "UW", |
| | "V", |
| | "W", |
| | "Y", |
| | "Z", |
| | "ZH", |
| | " " |
| | ] |
| | _SPLITS = ["train", "valid", "test"] |
| |
|
| | class LJSpeech(datasets.GeneratorBasedBuilder): |
| | def __init__(self, base_url=None, splits=None, *args, **kwargs): |
| | super().__init__(*args, **kwargs) |
| | self.base_url = base_url or _BASE_URL |
| | self.splits = splits or _SPLITS |
| |
|
| | def _info(self): |
| | return datasets.DatasetInfo( |
| | description=_DESCRIPTION, |
| | features=datasets.Features( |
| | { |
| | "char": datasets.Value("string"), |
| | "phn_raw": datasets.Sequence(datasets.Value("string")), |
| | "phn": datasets.Sequence(datasets.ClassLabel(names=_PHONEMES)), |
| | "wav": datasets.Value("string"), |
| | }, |
| | ), |
| | supervised_keys=None, |
| | homepage=_HOMEPAGE_URL, |
| | ) |
| |
|
| | def _get_url(self, split): |
| | return f'{self.base_url}/ljspeech_{split}.json' |
| |
|
| | def _split_generator(self, dl_manager, split): |
| | url = self._get_url(split) |
| | path = dl_manager.download_and_extract(url) |
| | return datasets.SplitGenerator( |
| | name=split, |
| | gen_kwargs={"datapath": path, "datatype": split}, |
| | ) |
| |
|
| | def _split_generators(self, dl_manager): |
| | return [ |
| | self._split_generator(dl_manager, split) |
| | for split in self.splits |
| | ] |
| |
|
| | def _generate_examples(self, datapath, datatype): |
| | with open(datapath, encoding="utf-8") as f: |
| | data = json.load(f) |
| |
|
| | for item_id, item in data.items(): |
| | resp = { |
| | "char": item["char"], |
| | "phn": item["phn"], |
| | "phn_raw": item["phn"], |
| | "wav": item["wav"] |
| | } |
| | yield item_id, resp |
| |
|
