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Update README.md
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README.md
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---
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-
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language: nl
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datasets:
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- common_voice
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tags:
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- audio
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- automatic-speech-recognition
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- speech
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- xlsr-fine-tuning-week
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license: apache-2.0
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model-index:
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- name: wav2vec2-large-xlsr-53-Dutch by Mehdi Hosseini Moghadam
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results:
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- task:
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name: Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice nl
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type: common_voice
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args: nl
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metrics:
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- name: Test WER
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type: wer
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value: 26.494162
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---
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# wav2vec2-large-xlsr-53-Dutch
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@@ -130,7 +106,7 @@ model = Wav2Vec2ForCTC.from_pretrained("MehdiHosseiniMoghadam/wav2vec2-large-xls
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model.to("cuda")
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chars_to_ignore_regex = '[
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resampler = torchaudio.transforms.Resample(48_000, 16_000)
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---
|
|
|
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| 2 |
language: nl
|
|
|
|
| 3 |
datasets:
|
|
|
|
| 4 |
- common_voice
|
|
|
|
| 5 |
tags:
|
|
|
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| 6 |
- audio
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|
|
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| 7 |
- automatic-speech-recognition
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|
|
|
| 8 |
- speech
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|
|
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| 9 |
- xlsr-fine-tuning-week
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|
|
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license: apache-2.0
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model-index:
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- name: wav2vec2-large-xlsr-53-Dutch by Mehdi Hosseini Moghadam
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results:
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- task:
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name: Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice nl
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type: common_voice
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args: nl
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metrics:
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- name: Test WER
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type: wer
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value: 26.494162
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---
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# wav2vec2-large-xlsr-53-Dutch
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model.to("cuda")
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chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“]'
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resampler = torchaudio.transforms.Resample(48_000, 16_000)
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