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@@ -47,6 +47,20 @@ model-index:
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  - name: CER
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  type: cer
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  value: 1.66
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - task:
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
@@ -81,13 +95,14 @@ model-index:
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  This model is a finetuned version of [Facebook's Wav2Vec2 XLS-R 300M](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for Galician on the datasets [Common Voice Corpus 17.0](https://datacollective.mozillafoundation.org/datasets/cmj8u3p5r009tnxxb88cqm12d), [Open SLR77](https://www.openslr.org/77), [FalAI](https://huggingface.co/datasets/GTM-UVigo/FalAI), [Fleurs](https://huggingface.co/datasets/google/fleurs) and [Nos_ParlaSpeech-GL](https://huggingface.co/datasets/proxectonos/Nos_Parlaspeech-GL).
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  ### Test
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- This model has been tested in the test splits of the Galician OpenSLR dataset, the Galician Common Voice 17.0 dataset, the Galician FLEURS dataset and Nos_Parlaspeech-GL.
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  The results are shown in the following tables:
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  |Corpus|WER|CER|RTF|
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  |:-----|:--|:--|:--|
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  |Common Voice 17.0|7.85|1.66|0.0085|
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  |Open SLR77|12.04|3.82|0.0087|
 
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  |FLEURS|15.83|5.08|0.0091|
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  |Nos_Parlaspeech-GL|8.92|2.65|0.0114|
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  - name: CER
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  type: cer
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  value: 1.66
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: FalAI
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+ type: falai
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+ args: validated
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+ metrics:
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+ - name: WER
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+ type: wer
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+ value: 4.39
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+ - name: CER
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+ type: cer
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+ value: 1.17
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  - task:
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
 
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  This model is a finetuned version of [Facebook's Wav2Vec2 XLS-R 300M](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for Galician on the datasets [Common Voice Corpus 17.0](https://datacollective.mozillafoundation.org/datasets/cmj8u3p5r009tnxxb88cqm12d), [Open SLR77](https://www.openslr.org/77), [FalAI](https://huggingface.co/datasets/GTM-UVigo/FalAI), [Fleurs](https://huggingface.co/datasets/google/fleurs) and [Nos_ParlaSpeech-GL](https://huggingface.co/datasets/proxectonos/Nos_Parlaspeech-GL).
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  ### Test
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+ This model has been tested in the test splits of the Galician OpenSLR dataset, the Galician Common Voice 17.0 dataset, the FalAI dataset, the Galician FLEURS dataset and Nos_Parlaspeech-GL.
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  The results are shown in the following tables:
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  |Corpus|WER|CER|RTF|
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  |:-----|:--|:--|:--|
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  |Common Voice 17.0|7.85|1.66|0.0085|
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  |Open SLR77|12.04|3.82|0.0087|
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+ |FalAI|4.39|1.17|0.0260|
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  |FLEURS|15.83|5.08|0.0091|
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  |Nos_Parlaspeech-GL|8.92|2.65|0.0114|
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