alibabasglab commited on
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1 Parent(s): f0fbd2a

Update app.py

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  1. app.py +4 -2
app.py CHANGED
@@ -45,7 +45,8 @@ se_demo = gr.Interface(
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  article = ("<p style='text-align: center'><a href='https://arxiv.org/abs/2206.07293' target='_blank'>FRCRN: Boosting Feature Representation Using Frequency Recurrence for Monaural Speech Enhancement</a> | <a href='https://github.com/alibabasglab' target='_blank'>Github Repo</a></p>"
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  ),
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  examples = [
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- ['mandarin_speech.wav']
 
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  ],
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  cache_examples = True,
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  )
@@ -64,7 +65,8 @@ ss_demo = gr.Interface(
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  article = ("<p style='text-align: center'><a href='https://arxiv.org/abs/2302.11824' target='_blank'>MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions</a> | <a href='https://github.com/alibabasglab' target='_blank'>Github Repo</a></p>"
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  "<p style='text-align: center'><a href='https://arxiv.org/abs/2312.11825' target='_blank'>MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation</a> | <a href='https://github.com/alibabasglab' target='_blank'>Github Repo</a></p>"),
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  examples = [
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- ['mandarin_speech.wav']
 
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  ],
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  cache_examples = True,
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  )
 
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  article = ("<p style='text-align: center'><a href='https://arxiv.org/abs/2206.07293' target='_blank'>FRCRN: Boosting Feature Representation Using Frequency Recurrence for Monaural Speech Enhancement</a> | <a href='https://github.com/alibabasglab' target='_blank'>Github Repo</a></p>"
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  ),
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  examples = [
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+ ['examples/mandarin_speech_16kHz.wav'],
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+ ['examples/english_speech_48kHz.wav'],
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  ],
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  cache_examples = True,
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  )
 
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  article = ("<p style='text-align: center'><a href='https://arxiv.org/abs/2302.11824' target='_blank'>MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions</a> | <a href='https://github.com/alibabasglab' target='_blank'>Github Repo</a></p>"
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  "<p style='text-align: center'><a href='https://arxiv.org/abs/2312.11825' target='_blank'>MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation</a> | <a href='https://github.com/alibabasglab' target='_blank'>Github Repo</a></p>"),
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  examples = [
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+ ['examples/female_female_speech.wav'],
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+ ['examples/female_male_speech.wav'],
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  ],
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  cache_examples = True,
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  )