gigant
/

romanian-wav2vec2

Automatic Speech Recognition

hf-asr-leaderboard

robust-speech-event

Inference Endpoints

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gigant commited on Feb 24, 2022

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@@ -53,9 +53,9 @@ model-index:
          value: 2.17
 ---
-You can test this model online with the [Space for Romanian Speech Recognition](https://huggingface.co/spaces/gigant/romanian-speech-recognition)
-The model ranked TOP-1 on Romanian Speech Recognition during HuggingFace's Robust Speech Challenge : [**Leaderboard**](https://huggingface.co/spaces/speech-recognition-community-v2/FinalLeaderboard)
 # Romanian Wav2Vec2
@@ -72,7 +72,7 @@ The architecture is based on [facebook/wav2vec2-xls-r-300m](https://huggingface.
 ## Intended uses & limitations
-The model is made for speech recognition in Romanian from audio clips sampled at 16kHz. The predicted text is lowercased and does not contain any punctuation.
 ## How to use

          value: 2.17
 ---
+You can test this model online with the [**Space for Romanian Speech Recognition**](https://huggingface.co/spaces/gigant/romanian-speech-recognition)
+The model ranked **TOP-1** on Romanian Speech Recognition during HuggingFace's Robust Speech Challenge : [**Leaderboard**](https://huggingface.co/spaces/speech-recognition-community-v2/FinalLeaderboard)
 # Romanian Wav2Vec2
 ## Intended uses & limitations
+The model is made for speech recognition in Romanian from audio clips sampled at **16kHz**. The predicted text is lowercased and does not contain any punctuation.
 ## How to use