Initial import

README.md

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+# The LJ Speech Dataset
+
+Version 1.0
+July 5, 2017
+https://keithito.com/LJ-Speech-Dataset
+
+
+# Overview
+
+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.
+
+The texts were published between 1884 and 1964, and are in the public domain.
+The audio was recorded in 2016-17 by the LibriVox project and is also in the
+public domain.
+
+The following files provide raw lavels for the train/validation/test split
+* train.txt
+* valid.txt
+* test.txt
+
+Friendly metadata with the split is provided in the following files:
+* ljspeech_train.json
+* ljspeech_test.json
+* ljspeech_valid.json
+
+The JSON files are formatted as follows:
+
+```json
+{
+    "<sample-id>": {
+        "char_raw": "<label text (raw)>",
+        "char": "<label text (preprocessed)",
+        "phn": "<experimental phoneme annotation obtained using a G2P model",
+        "wav": "<relative path to the file"
+    }
+}
+```
+
+The dataset is also usable as a HuggingFace Arrow dataset:
+https://huggingface.co/docs/datasets/
+
+# FILE FORMAT
+
+Original metadata is provided in metadata.csv. This file consists of one record per line, delimited by the pipe character (0x7c). The fields are:
+
+  1. ID: this is the name of the corresponding .wav file
+  2. Transcription: words spoken by the reader (UTF-8)
+  3. Normalized Transcription: transcription with numbers, ordinals, and
+     monetary units expanded into full words (UTF-8).
+
+Each audio file is a single-channel 16-bit PCM WAV with a sample rate of
+22050 Hz.
+
+
+
+## Statistics
+
+Total Clips            13,100
+Total Words            225,715
+Total Characters       1,308,674
+Total Duration         23:55:17
+Mean Clip Duration     6.57 sec
+Min Clip Duration      1.11 sec
+Max Clip Duration      10.10 sec
+Mean Words per Clip    17.23
+Distinct Words         13,821
+
+
+
+## Miscellaneous
+
+The audio clips range in length from approximately 1 second to 10 seconds.
+They were segmented automatically based on silences in the recording. Clip
+boundaries generally align with sentence or clause boundaries, but not always.
+
+The text was matched to the audio manually, and a QA pass was done to ensure
+that the text accurately matched the words spoken in the audio.
+
+The original LibriVox recordings were distributed as 128 kbps MP3 files. As a
+result, they may contain artifacts introduced by the MP3 encoding.
+
+The following abbreviations appear in the text. They may be expanded as
+follows:
+
+     Abbreviation   Expansion
+     --------------------------
+     Mr.            Mister
+     Mrs.           Misess (*)
+     Dr.            Doctor
+     No.            Number
+     St.            Saint
+     Co.            Company
+     Jr.            Junior
+     Maj.           Major
+     Gen.           General
+     Drs.           Doctors
+     Rev.           Reverend
+     Lt.            Lieutenant
+     Hon.           Honorable
+     Sgt.           Sergeant
+     Capt.          Captain
+     Esq.           Esquire
+     Ltd.           Limited
+     Col.           Colonel
+     Ft.            Fort
+
+     * there's no standard expansion of "Mrs."
+
+
+19 of the transcriptions contain non-ASCII characters (for example, LJ016-0257
+contains "raison d'être").
+
+For more information or to report errors, please email kito@kito.us.
+
+
+
+LICENSE
+
+This dataset is in the public domain in the USA (and likely other countries as
+well). There are no restrictions on its use. For more information, please see:
+https://librivox.org/pages/public-domain.
+
+
+CHANGELOG
+
+* 1.0 (July 8, 2017):
+  Initial release
+
+* 1.1 (Feb 19, 2018):
+  Version 1.0 included 30 .wav files with no corresponding annotations in
+  metadata.csv. These have been removed in version 1.1. Thanks to Rafael Valle
+  for spotting this.
+
+
+CREDITS
+
+This dataset consists of excerpts from the following works:
+
+* Morris, William, et al. Arts and Crafts Essays. 1893.
+* Griffiths, Arthur. The Chronicles of Newgate, Vol. 2. 1884.
+* Roosevelt, Franklin D. The Fireside Chats of Franklin Delano Roosevelt.
+  1933-42.
+* Harland, Marion. Marion Harland's Cookery for Beginners. 1893.
+* Rolt-Wheeler, Francis. The Science - History of the Universe, Vol. 5:
+  Biology. 1910.
+* Banks, Edgar J. The Seven Wonders of the Ancient World. 1916.
+* President's Commission on the Assassination of President Kennedy. Report
+  of the President's Commission on the Assassination of President Kennedy.
+  1964.
+
+Recordings by Linda Johnson. Alignment and annotation by Keith Ito. All text,
+audio, and annotations are in the public domain.
+
+There's no requirement to cite this work, but if you'd like to do so, you can
+link to: https://keithito.com/LJ-Speech-Dataset
+
+or use the following:
+@misc{ljspeech17,
+  author       = {Keith Ito},
+  title        = {The LJ Speech Dataset},
+  howpublished = {\url{https://keithito.com/LJ-Speech-Dataset/}},
+  year         = 2017
+}

ljspeech.py

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+# coding=utf-8
+# Copyright 2021 Artem Ploujnikov
+
+
+# Lint as: python3
+import json
+
+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

ljspeech_test.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:512e8aa9115e4c60cad36fd3839f81be11ce2946b95e481442d6dd832c4790a0
+size 631332

ljspeech_train.json

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+oid sha256:ab407c4903ccd4671ec5f2489d917b85cd7606e6a60b6f214d7149a8923befbd
+size 15829247

ljspeech_valid.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:96e96fc9e35aa74cdfb7e37181e91a67fa4b205c9dd2fd06bece7e2d405f230b
+size 123352

metadata.csv

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+oid sha256:852bce5c79e5184ba5bf2ea98aad4bcf49a5d787def5fd1f04fa2ab8aa6dc535
+size 2767490

test.txt

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valid.txt

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