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Update app.py

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  1. app.py +6 -7
app.py CHANGED
@@ -26,13 +26,12 @@ ui.theme = "peach"
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  ui.article = """<h2>Pre-trained model Information</h2>
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  <h3>Automatic Speech Recognition</h3>
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  <p style='text-align: justify'>The model used for the ASR part of this space is from
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- [https://huggingface.co/facebook/wav2vec2-base-960h] which is pretrained and fine-tuned on
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- <b>960 hours of
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- Librispeech</b> on 16kHz sampled speech audio. This model has a <b>word error rate (WER)</b> of <b>8.6 percent on
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- noisy speech</b> and <b>5.2 percent on clean speech</b> on the standard LibriSpeech benchmark. More information can be
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- found on its website at [https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio]
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- and
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- original model is under [https://github.com/pytorch/fairseq/tree/main/examples/wav2vec].</p>
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  <h3>Text Translator</h3>
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  <p style='text-align: justify'>The English to Spanish text translator pre-trained model is from
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  [https://huggingface.co/Helsinki-NLP/opus-mt-en-es] which is part of the <b>The Tatoeba Translation Challenge
 
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  ui.article = """<h2>Pre-trained model Information</h2>
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  <h3>Automatic Speech Recognition</h3>
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  <p style='text-align: justify'>The model used for the ASR part of this space is from
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+ [https://huggingface.co/facebook/hubert-large-ls960-ft] which is pretrained and fine-tuned on <b>960 hours of
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+ Librispeech</b> on 16kHz sampled speech audio. This model has a self-reported <b>word error rate (WER)</b> of <b>1.9
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+ percent</b> and ranks first in <i>paperswithcode</i> for ASR on Librispeech. More information can be
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+ found on its website at [https://ai.facebook.com/blog/hubert-self-supervised-representation-learning-for-speech-recognition-
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+ generation-and-compression] and
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+ original model is under [https://github.com/pytorch/fairseq/tree/main/examples/hubert].</p>
 
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  <h3>Text Translator</h3>
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  <p style='text-align: justify'>The English to Spanish text translator pre-trained model is from
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  [https://huggingface.co/Helsinki-NLP/opus-mt-en-es] which is part of the <b>The Tatoeba Translation Challenge