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