five

SEACrowd/su_id_tts

收藏
Hugging Face2024-06-24 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/SEACrowd/su_id_tts
下载链接
链接失效反馈
官方服务:
资源简介:
该数据集包含高质量的巽他语转录音频数据,由Google与印度尼西亚教育大学合作收集。数据集包括音频文件和TSV文件,其中line_index.tsv文件包含文件名和音频文件的转录内容。每个文件名前都有一个说话者识别号。数据集经过手动质量检查,但仍可能存在错误。数据集支持的任务是文本到语音转换(Text To Speech)。

This data set contains high-quality transcribed audio data for Sundanese. 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 Universitas Pendidikan Indonesia. The supported task is Text To Speech.
提供机构:
SEACrowd
原始信息汇总

数据集概述

该数据集包含高质量的巽他语(Sundanese)转录音频数据,由波形文件和TSV文件组成。line_index.tsv文件包含文件名及其对应的音频转录文本,每个文件名前缀为说话者标识号。数据集经过人工质量检查,但可能仍存在错误。该数据集由Google与印度尼西亚教育大学合作收集。

语言

  • 巽他语(Sundanese)

支持的任务

  • 文本到语音(Text To Speech)

数据集使用

使用 datasets

python from datasets import load_dataset dset = datasets.load_dataset("SEACrowd/su_id_tts", trust_remote_code=True)

使用 seacrowd

python import seacrowd as sc

使用默认配置加载数据集

dset = sc.load_dataset("su_id_tts", schema="seacrowd")

检查数据集的所有可用子集(配置名称)

print(sc.available_config_names("su_id_tts"))

使用特定配置加载数据集

dset = sc.load_dataset_by_config_name(config_name="<config_name>")

数据集主页

http://openslr.org/44/

数据集版本

  • 源版本:1.0.0
  • SEACrowd版本:2024.06.20

数据集许可

CC BY-SA 4.0

引用

如果您在使用Su Id Tts数据集,请引用以下内容:

@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} }

@article{lovenia2024seacrowd, title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya}, year={2024}, eprint={2406.10118}, journal={arXiv preprint arXiv: 2406.10118} }

5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作