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gigant
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romanian-wav2vec2

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Romanian
wav2vec2
hf-asr-leaderboard
robust-speech-event
Eval Results
Inference Endpoints
Model card Files Community
2
gigant librarian-bot commited on
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1 Parent(s): cf06fda

Librarian Bot: Add base_model information to model (#2)

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- Librarian Bot: Add base_model information to model (b3810b11e45a222c8c73e782bdf6cc391865917f)


Co-authored-by: Librarian Bot (Bot) <[email protected]>

Files changed (1) hide show
  1. README.md +22 -21
README.md CHANGED
@@ -9,60 +9,61 @@ tags:
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  datasets:
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  - mozilla-foundation/common_voice_8_0
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  - gigant/romanian_speech_synthesis_0_8_1
 
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  model-index:
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  - name: wav2vec2-ro-300m_01
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  results:
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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: Robust Speech Event
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  type: speech-recognition-community-v2/dev_data
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  args: ro
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  metrics:
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- - name: Dev WER (without LM)
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- type: wer
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  value: 46.99
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- - name: Dev CER (without LM)
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- type: cer
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  value: 16.04
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- - name: Dev WER (with LM)
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- type: wer
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  value: 38.63
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- - name: Dev CER (with LM)
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- type: cer
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  value: 14.52
 
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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: Common Voice
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  type: mozilla-foundation/common_voice_8_0
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  args: ro
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  metrics:
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- - name: Test WER (without LM)
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- type: wer
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  value: 11.73
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- - name: Test CER (without LM)
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- type: cer
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  value: 2.93
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- - name: Test WER (with LM)
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- type: wer
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  value: 7.31
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- - name: Test CER (with LM)
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- type: cer
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  value: 2.17
 
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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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  dataset:
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  name: Robust Speech Event - Test Data
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  type: speech-recognition-community-v2/eval_data
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  args: ro
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 43.23
 
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  ---
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  You can test this model online with the [**Space for Romanian Speech Recognition**](https://huggingface.co/spaces/gigant/romanian-speech-recognition)
 
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  datasets:
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  - mozilla-foundation/common_voice_8_0
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  - gigant/romanian_speech_synthesis_0_8_1
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+ base_model: facebook/wav2vec2-xls-r-300m
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  model-index:
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  - name: wav2vec2-ro-300m_01
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  results:
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  - task:
 
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  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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  dataset:
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  name: Robust Speech Event
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  type: speech-recognition-community-v2/dev_data
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  args: ro
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  metrics:
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+ - type: wer
 
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  value: 46.99
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+ name: Dev WER (without LM)
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+ - type: cer
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  value: 16.04
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+ name: Dev CER (without LM)
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+ - type: wer
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  value: 38.63
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+ name: Dev WER (with LM)
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+ - type: cer
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  value: 14.52
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+ name: Dev CER (with LM)
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  - task:
 
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  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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  dataset:
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  name: Common Voice
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  type: mozilla-foundation/common_voice_8_0
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  args: ro
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  metrics:
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+ - type: wer
 
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  value: 11.73
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+ name: Test WER (without LM)
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+ - type: cer
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  value: 2.93
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+ name: Test CER (without LM)
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+ - type: wer
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  value: 7.31
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+ name: Test WER (with LM)
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+ - type: cer
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  value: 2.17
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+ name: Test CER (with LM)
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  - task:
 
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  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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  dataset:
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  name: Robust Speech Event - Test Data
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  type: speech-recognition-community-v2/eval_data
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  args: ro
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  metrics:
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+ - type: wer
 
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  value: 43.23
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+ name: Test WER
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  ---
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  You can test this model online with the [**Space for Romanian Speech Recognition**](https://huggingface.co/spaces/gigant/romanian-speech-recognition)