metadata
annotations_creators:
- expert-generated
language:
- hu
license: cc0-1.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-to-speech
- other
task_ids: []
Dataset Card for CSS10 Hungarian: Single Speaker Speech Dataset
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: Hungarian Single Speaker Speech Dataset
- Repository: CSS10
- Paper: CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages
Dataset Summary
The corpus consists of a single speaker, with 4515 segments extracted from a single LibriVox audiobook.
Supported Tasks and Leaderboards
[Needs More Information]
Languages
The audio is in Hungarian.
Dataset Structure
[Needs More Information]
Data Instances
[Needs More Information]
Data Fields
[Needs More Information]
Data Splits
[Needs More Information]
Dataset Creation
Curation Rationale
CSS10 is a collection of single speaker speech datasets for 10 languages. Each of them consists of audio files recorded by a single volunteer and their aligned text sourced from LibriVox.
Source Data
Initial Data Collection and Normalization
Egri csillagok, read by Diana Majlinger.
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
Kyubyong Park & Tommy Mulc
Licensing Information
Citation Information
@article{park2019css10,
title={CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages},
author={Park, Kyubyong and Mulc, Thomas},
journal={Interspeech},
year={2019}
}
Contributions
[Needs More Information]