Datasets:
Languages:
Javanese
Tags:
text-to-speech
| import csv | |
| import os | |
| from pathlib import Path | |
| from typing import List | |
| import datasets | |
| from nusacrowd.utils import schemas | |
| from nusacrowd.utils.configs import NusantaraConfig | |
| from nusacrowd.utils.constants import (DEFAULT_NUSANTARA_VIEW_NAME, | |
| DEFAULT_SOURCE_VIEW_NAME, Tasks) | |
| _DATASETNAME = "jv_id_tts" | |
| _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME | |
| _UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME | |
| _LANGUAGES = ["jav"] | |
| _LOCAL = False | |
| _CITATION = """\ | |
| @inproceedings{sodimana18_sltu, | |
| author={Keshan Sodimana and Pasindu {De Silva} and Supheakmungkol Sarin and Oddur Kjartansson and Martin Jansche and Knot Pipatsrisawat and Linne Ha}, | |
| title={{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Frameworks for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}}, | |
| year=2018, | |
| booktitle={Proc. 6th Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU 2018)}, | |
| pages={66--70}, | |
| doi={10.21437/SLTU.2018-14} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| This data set contains high-quality transcribed audio data for Javanese. | |
| The data set consists of wave files, and a TSV file. | |
| The file line_index.tsv contains a filename and the transcription of audio in the file. | |
| Each filename is prepended with a speaker identification number. | |
| The data set has been manually quality checked, but there might still be errors. | |
| This dataset was collected by Google in collaboration with Gadjah Mada University in Indonesia. | |
| """ | |
| _HOMEPAGE = "http://openslr.org/41/" | |
| _LICENSE = "See https://www.openslr.org/resources/41/LICENSE file for license information. Attribution-ShareAlike 4.0 (CC BY-SA 4.0)." | |
| _URLs = { | |
| _DATASETNAME: { | |
| "female": "https://www.openslr.org/resources/41/jv_id_female.zip", | |
| "male": "https://www.openslr.org/resources/41/jv_id_male.zip", | |
| } | |
| } | |
| _SUPPORTED_TASKS = [Tasks.TEXT_TO_SPEECH] | |
| _SOURCE_VERSION = "1.0.0" | |
| _NUSANTARA_VERSION = "1.0.0" | |
| class JvIdTTS(datasets.GeneratorBasedBuilder): | |
| """jv_id_tts contains high-quality Multi-speaker TTS data for Javanese (jv-ID).""" | |
| BUILDER_CONFIGS = [ | |
| NusantaraConfig( | |
| name="jv_id_tts_source", | |
| version=datasets.Version(_SOURCE_VERSION), | |
| description="JV_ID_TTS source schema", | |
| schema="source", | |
| subset_id="jv_id_tts", | |
| ), | |
| NusantaraConfig( | |
| name="jv_id_tts_nusantara_sptext", | |
| version=datasets.Version(_NUSANTARA_VERSION), | |
| description="JV_ID_TTS Nusantara schema", | |
| schema="nusantara_sptext", | |
| subset_id="jv_id_tts", | |
| ), | |
| ] | |
| DEFAULT_CONFIG_NAME = "jv_id_tts_source" | |
| def _info(self): | |
| if self.config.schema == "source": | |
| features = datasets.Features( | |
| { | |
| "id": datasets.Value("string"), | |
| "speaker_id": datasets.Value("string"), | |
| "path": datasets.Value("string"), | |
| "audio": datasets.Audio(sampling_rate=16_000), | |
| "text": datasets.Value("string"), | |
| } | |
| ) | |
| elif self.config.schema == "nusantara_sptext": | |
| features = schemas.speech_text_features | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| task_templates=[datasets.AutomaticSpeechRecognition(audio_column="audio", transcription_column="text")], | |
| ) | |
| def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: | |
| male_path = Path(dl_manager.download_and_extract(_URLs[_DATASETNAME]["male"])) | |
| female_path = Path(dl_manager.download_and_extract(_URLs[_DATASETNAME]["female"])) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "male_filepath": male_path, | |
| "female_filepath": female_path, | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, male_filepath: Path, female_filepath: Path): | |
| if self.config.schema == "source" or self.config.schema == "nusantara_sptext": | |
| tsv_file = os.path.join(male_filepath, "jv_id_male", "line_index.tsv") | |
| with open(tsv_file, "r") as file: | |
| tsv_data = csv.reader(file, delimiter="\t") | |
| for line in tsv_data: | |
| # for male data, the tsv contains three columns | |
| audio_id, _, transcription_text = line[0], line[1], line[2] | |
| speaker_id = audio_id.split("_")[1] | |
| wav_path = os.path.join(male_filepath, "jv_id_male", "wavs", "{}.wav".format(audio_id)) | |
| if os.path.exists(wav_path): | |
| if self.config.schema == "source": | |
| ex = { | |
| "id": audio_id, | |
| "speaker_id": speaker_id, | |
| "path": wav_path, | |
| "audio": wav_path, | |
| "text": transcription_text, | |
| } | |
| yield audio_id, ex | |
| elif self.config.schema == "nusantara_sptext": | |
| ex = { | |
| "id": audio_id, | |
| "speaker_id": speaker_id, | |
| "path": wav_path, | |
| "audio": wav_path, | |
| "text": transcription_text, | |
| "metadata": { | |
| "speaker_age": None, | |
| "speaker_gender": "male", | |
| }, | |
| } | |
| yield audio_id, ex | |
| tsv_file = os.path.join(female_filepath, "jv_id_female", "line_index.tsv") | |
| with open(tsv_file, "r") as file: | |
| tsv_data = csv.reader(file, delimiter="\t") | |
| for line in tsv_data: | |
| audio_id, transcription_text = line[0], line[1] | |
| speaker_id = audio_id.split("_")[1] | |
| wav_path = os.path.join(female_filepath, "jv_id_female", "wavs", "{}.wav".format(audio_id)) | |
| if os.path.exists(wav_path): | |
| if self.config.schema == "source": | |
| ex = { | |
| "id": audio_id, | |
| "speaker_id": speaker_id, | |
| "path": wav_path, | |
| "audio": wav_path, | |
| "text": transcription_text, | |
| } | |
| yield audio_id, ex | |
| elif self.config.schema == "nusantara_sptext": | |
| ex = { | |
| "id": audio_id, | |
| "speaker_id": speaker_id, | |
| "path": wav_path, | |
| "audio": wav_path, | |
| "text": transcription_text, | |
| "metadata": { | |
| "speaker_age": None, | |
| "speaker_gender": "female", | |
| }, | |
| } | |
| yield audio_id, ex | |
| else: | |
| raise ValueError(f"Invalid config: {self.config.name}") | |