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Low CER high accuracy

# Low CER high accuracy

Wav2vec2 Xls R 1b Polish
Apache-2.0
This is a Polish automatic speech recognition (ASR) model fine-tuned based on the XLS-R 1-billion parameter model, trained on datasets such as Common Voice 8.0, supporting 16kHz sampling rate audio input.
Speech Recognition Transformers Other
W
jonatasgrosman
212
0
Wav2vec2 Large Xls R 300m Latvian
Apache-2.0
This is an automatic speech recognition model fine-tuned on Latvian datasets based on facebook/wav2vec2-xls-r-300m, achieving a WER of 16.98% on the Common Voice 7 test set.
Speech Recognition Transformers Other
W
infinitejoy
222
1
Romanian Wav2vec2
Apache-2.0
A Romanian speech recognition model fine-tuned based on facebook/wav2vec2-xls-r-300m, trained on Common Voice 8.0 and Romanian speech synthesis datasets, ranked first in Romanian speech recognition in the HuggingFace Robust Speech Challenge.
Speech Recognition Transformers Other
R
gigant
88.90k
6
Wav2vec2 Large Xls R 300m Bashkir Cv7 Opt
Apache-2.0
This is an automatic speech recognition model fine-tuned on the Bashkir Common Voice 7 dataset based on Facebook's wav2vec2-xls-r-300m model.
Speech Recognition Transformers Other
W
AigizK
102
0
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