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--- |
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language: hr |
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datasets: |
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- parlaspeech |
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tags: |
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- audio |
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- automatic-speech-recognition |
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widget: |
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- example_title: example 1 |
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src: https://huggingface.co/classla/wav2vec2-xls-r-sabor-hr/raw/main/00020570a.flac.wav |
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- example_title: example 2 |
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src: https://huggingface.co/classla/wav2vec2-xls-r-sabor-hr/raw/main/00020578b.flac.wav |
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--- |
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# wav2vec2-xls-r-sabor-hr |
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This model is based on the [facebook/wav2vec2-xls-r-300m model](https://huggingface.co/facebook/wav2vec2-xls-r-300m) and was fine-tuned over 72 hours of recordings and transcripts from the Croatian parliament. These transcripts are an early result of the second iteration of the [ParlaMint project](https://www.clarin.eu/content/parlamint-towards-comparable-parliamentary-corpora) and will be extended and published under a permissive license. |
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These efforts were coordinated by Nikola Ljubešić, the manual data alignment was performed by Ivo-Pavao Jazbec, the method from [Plüss et al](https://arxiv.org/abs/2010.02810) was applied by Vuk Batanović and Lenka Bajčetić, while the final modelling was performed by Peter Rupnik. |
