Datasets:
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---
size_categories:
- 10K<n<100K
dataset_info:
features:
- name: audio
dtype: audio
- name: transcript
dtype: string
- name: norm_transcript
dtype: string
- name: guest_description
dtype: string
- name: guest_name
dtype: string
- name: host
dtype: string
- name: speaker_breakdown
dtype: string
- name: split
dtype: string
splits:
- name: train
num_bytes: 5860341292.567
num_examples: 10811
download_size: 0
dataset_size: 5860341292.567
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
handle:
- http://hdl.handle.net/11356/1679
license: cc-by-sa-4.0
language:
- sr
pretty_name: Južne Vesti
---
# ASR training dataset for Serbian JuzneVesti-SR v1.0
hdl: http://hdl.handle.net/11356/1679
The JuzneVesti-SR dataset consists of audio recordings and manual transcripts from the Južne Vesti website and its host show called '15 minuta' (https://www.juznevesti.com/Tagovi/Intervju-15-minuta.sr.html).
The processing of the audio and its alignment to the manual transcripts followed the pipeline of the ParlaSpeech-HR dataset (http://hdl.handle.net/11356/1494) as closely as possible.
Segments in this dataset range from 2 to 30 seconds.
Train-dev-test split has been performed with 80:10:10 ratio.
As with the ParlaSpeech-HR dataset, two transcriptions are provided; one with transcripts in their raw form (with punctuation, capital letters, numerals) and another normalised with the same rule-based normaliser as was used in ParlaSpeech-HR dataset creation, which is lowercased, punctuation is removed and numerals are replaced with words.
Original transcripts were collected with the help of the ReLDI Centre Belgrade (https://reldi.spur.uzh.ch).
Please cite as
```
@misc{11356/1679,
title = {{ASR} training dataset for Serbian {JuzneVesti}-{SR} v1.0},
author = {Rupnik, Peter and Ljube{\v s}i{\'c}, Nikola},
url = {http://hdl.handle.net/11356/1679},
note = {Slovenian language resource repository {CLARIN}.{SI}},
copyright = {Creative Commons - Attribution-{ShareAlike} 4.0 International ({CC} {BY}-{SA} 4.0)},
issn = {2820-4042},
year = {2022} }
``` |