The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets library). If this is not possible, please
open a discussion
for direct help.
Dataset Card for ClarinPL Studio Speech Corpus
Dataset Summary
The corpus consists of 317 speakers recorded in 554 sessions, where each session consists of 20 read sentences and 10 phonetically rich words. The size of the audio portion of the corpus amounts to around 56 hours, with transcriptions containing 356674 words from a vocabulary of size 46361.
Supported Tasks and Leaderboards
[Needs More Information]
Languages
The audio is in Polish.
Dataset Structure
Data Instances
A typical data point comprises the path to the audio file, usually called file and its transcription, called text.
An example from the dataset is:
{'file': '/root/.cache/huggingface/datasets/downloads/extracted/333ddc746f2df1e1d19b44986992d4cbe28710fde81d533a220e755ee6c5c519/audio/SES0001/rich001.wav',
'id': 'SES0001_rich001',
'speaker_id': 'SPK0001',
'text': 'drożdże dżip gwożdżenie ozimina wędzarz rdzeń wędzonka ingerować kładzenie jutrzenka'}
Data Fields
- file: A path to the downloaded audio file in .wav format.
- text: the transcription of the audio file.
- speaker_id: The ID of the speaker of the audio.
Data Splits
| Train | Test | Valid | |
|---|---|---|---|
| dataset | 11222 | 1362 | 1229 |
Dataset Creation
Curation Rationale
The purpose of this segment of the project was to develop specific tools that would allow for automatic and semi-automatic processing of large quantities of acoustic speech data. Another purpose of the corpus was to serve as a reference for studies in phonetics and pronunciation.
Source Data
Initial Data Collection and Normalization
The corpus was recorded in a studio environment using two microphones: a high-quality studio microphone and a typical consumer audio headset.
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
[Needs More Information]
Licensing Information
Citation Information
@article{korvzinek2017polish,
title={Polish read speech corpus for speech tools and services},
author={Kor{\v{z}}inek, Danijel and Marasek, Krzysztof and Brocki, {\L}ukasz and Wo{\l}k, Krzysztof},
journal={arXiv preprint arXiv:1706.00245},
year={2017}
}
Contributions
[Needs More Information]
- Downloads last month
- 90