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docs: update demo description and update overview image
Browse files- app.py +3 -2
- overview.png +3 -0
app.py
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@@ -39,12 +39,13 @@ def chain_functions(*functions):
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title_md = "# Vocal Effects Generator"
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description_md = """
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This is
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In this demo, you can upload a raw vocal audio file (in mono) and use our model to apply professional-quality vocal processing by tweaking generated effects settings to enhance your vocals!
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The effects consist of series of EQ, compressor, delay, and reverb.
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The generator is a PCA model derived from 365 vocal effects presets fitted with the same effects chain.
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This interface allows you to control the principal components (PCs) of the generator, randomise them, and render the audio.
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To give you some idea, we empirically found that the first PC controls the amount of reverb and the second PC controls the amount of brightness.
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Note that adding these PCs together does not necessarily mean that their effects are additive in the final audio.
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@@ -396,7 +397,7 @@ with gr.Blocks() as demo:
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description_md,
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elem_id="description",
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)
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gr.Image("
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with gr.Row():
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with gr.Column():
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title_md = "# Vocal Effects Generator"
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description_md = """
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This is the demo [PCA-DiffVox: Augmenting Vocal Effects Tweakability With a Bijective Latent Space](https://www.waspaa.com/waspaa25/proceedings/WASPAA2025-291.pdf), which was presented at WASPAA 2025 and was built upon our work [DiffVox: A Differentiable Model for Capturing and Analysing Professional Effects Distributions](https://arxiv.org/abs/2504.14735).
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In this demo, you can upload a raw vocal audio file (in mono) and use our model to apply professional-quality vocal processing by tweaking generated effects settings to enhance your vocals!
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The effects consist of series of EQ, compressor, delay, and reverb.
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The generator is a PCA model derived from 365 vocal effects presets fitted with the same effects chain.
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This interface allows you to control the principal components (PCs) of the generator, randomise them, and render the audio.
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A brief illustration of the system is shown on the right.
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To give you some idea, we empirically found that the first PC controls the amount of reverb and the second PC controls the amount of brightness.
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Note that adding these PCs together does not necessarily mean that their effects are additive in the final audio.
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description_md,
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elem_id="description",
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)
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gr.Image("overview.png", elem_id="diagram", height=500)
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with gr.Row():
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with gr.Column():
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overview.png
ADDED
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Git LFS Details
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