Datasets:
language:
- pl
license: other
task_categories:
- automatic-speech-recognition
license_name: clarin-pub-by-inf-nored
license_link: https://www.clarin.eu/content/licenses-agreements-legal-terms
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: transcription
dtype: string
- name: session
dtype: string
- name: recording
dtype: string
- name: speaker
dtype: string
- name: gender
dtype: string
splits:
- name: train
num_bytes: 5140815823.602
num_examples: 11222
- name: test
num_bytes: 589266966.38
num_examples: 1362
- name: dev
num_bytes: 535361254.954
num_examples: 1229
download_size: 5969004737
dataset_size: 6265444044.936001
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: dev
path: data/dev-*
CLARIN-PL Polish Studio Corpus
The corpus was created somewhere in 2014-2015 by recording a group of few hundred volunteer speakers reading a few dozen sentences each. The total size of the corpus is ~56 hours.
Due to the manner of recording, the transcription accuracy is very high, but the manner of speech is not spontaneous. This corpus is best compared to something like TIMIT, possibly CommonVoice. It is different from CommonVoice in that it is recorded in a controlled environment (studio, all recordings using same microphone) and consistent manner.
The corpus was downloaded from https://mowa.clarin-pl.eu/korpusy/audio.tar.gz (~4.6GB; MD5SUM af583ab72089d089e31d795ea4f8ea4f)
A proof-of-concept ASR system can also be found on https://github.com/danijel3/ClarinStudioKaldi
Citing
Use the following paper to refer to this corpus:
@inproceedings{korvzinek2016polish,
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},
booktitle={CLARIN Annual Conference 2016},
pages={54}
}