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---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: id
dtype: string
splits:
- name: train
num_bytes: 1592138827.384
num_examples: 8456
download_size: 1717875561
dataset_size: 1592138827.384
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Mak na Konac - A multi-reference Speech-to-text Benchmark for Croatian and Serbian
The data set consists of transcribed spontaneous speech samples from three sources
(one Croatian and two Serbian) with a total duration of about 15 hours.
At this time, the multi-reference gold truth transcriptions are not publicly available.
This submission only includes the audio and primary key.
## Citation and more details
```
@inproceedings{Samardzic2024,
author = {Tanja Samardzic and Peter Rupnik and Mirjana Starović and Nikola Ljubešić},
title = {Mak na konac: A multi-reference Speech-to-text Benchmark for Croatian and Serbian},
booktitle = {Proceedings of the Language Technologies and Digital Humanities 2024 conference (JT-DH 2024)},
year = {2024},
address = {Ljubljana, Slovenia},
month = sep,
day = {19--20},
}
``` |