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Update app.py
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app.py
CHANGED
@@ -164,15 +164,32 @@ def update_ito_output(all_results, selected_step):
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""" APP display """
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with gr.Blocks() as demo:
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gr.Markdown("# ITO-Master: Inference Time Optimization for Mastering Style Transfer")
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with gr.Row():
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gr.Markdown("Interactive demo of Inference Time Optimization (ITO) for Audio Effects Modeling of Music Mastering Processors. (ISMIR 2025) \
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The mastering style transfer is performed by a differentiable audio processing model, and the predicted parameters are shown as the output. \
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Perform mastering style transfer with an input source audio and a reference mastering style audio. On top of this result, you can perform ITO to optimize the reference embedding $z_{ref}$ to further gain control over the output mastering style.\n\n"
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"**🔗 GitHub Source Code:** [SonyResearch/ITO-Master](https://github.com/SonyResearch/ITO-Master)"
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)
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gr.Image("ito_new.png", width=500, height=300, label="ITO pipeline")
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gr.Markdown("## Step 1: Mastering Style Transfer")
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with gr.Tab("Upload Audio"):
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""" APP display """
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with gr.Blocks() as demo:
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# gr.Markdown("# ITO-Master: Inference Time Optimization for Mastering Style Transfer")
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# with gr.Row():
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# gr.Markdown("Interactive demo of **ITO-Master: Inference Time Optimization for Audio Effects Modeling of Music Mastering Processors**. (ISMIR 2025) \
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# The mastering style transfer is performed by a differentiable audio processing model, and the predicted parameters are shown as the output. \
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# Perform mastering style transfer with an input source audio and a reference mastering style audio. On top of this result, you can perform ITO to optimize the reference embedding $z_{ref}$ to further gain control over the output mastering style.\n\n"
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# "**🔗 GitHub Source Code:** [SonyResearch/ITO-Master](https://github.com/SonyResearch/ITO-Master)"
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# )
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# gr.Image("ito_new.png", width=500, height=300, label="ITO pipeline")
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gr.HTML("""
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<script type="text/javascript"
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async
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src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js">
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</script>
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<h1>ITO-Master: Inference Time Optimization for Mastering Style Transfer</h1>
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<p>
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Interactive demo of <strong>ITO-Master: Inference Time Optimization for Audio Effects Modeling of Music Mastering Processors</strong>. (ISMIR 2025).
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The mastering style transfer is performed by a differentiable audio processing model, and the predicted parameters are shown as the output.
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Perform mastering style transfer with an input source audio and a reference mastering style audio.
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On top of this result, you can perform ITO to optimize the reference embedding \( z_{ref} \) to further gain control over the output mastering style.
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</p>
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<p><strong>🔗 GitHub Source Code:</strong> <a href="https://github.com/SonyResearch/ITO-Master" target="_blank">SonyResearch/ITO-Master</a></p>
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""")
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with gr.Row():
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gr.Image("ito_new.png", width=500, height=300, label="ITO pipeline")
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gr.Markdown("## Step 1: Mastering Style Transfer")
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with gr.Tab("Upload Audio"):
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