Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
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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['
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],
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cache_examples = True,
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)
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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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['
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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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)
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