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@@ -90,37 +90,37 @@ Diff-A-Riff allows the generation of accompaniments based on an audio reference.
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@@ -148,26 +148,26 @@ Diff-A-Riff also allows to specify the accompaniment using a text prompt. This r
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"A solo ukulele delivering a cheerful and sunny accompaniment."
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"A mellow synthesizer playing ethereal pads."
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"Drums with reverb and a lot of toms."
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"Drums with reverb and a lot of hats/cymbals."
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@@ -194,33 +194,33 @@ The model can generate accompaniments from a context only, without the need for
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@@ -235,25 +235,25 @@ Despite Diff-A-Riff generating only solo instrumental tracks, we are able to gen
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@@ -280,22 +280,22 @@ Diff-A-Riff also allows the generation of solo instrument tracks conditioned on
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@@ -318,23 +318,23 @@ In this section, you can hear single instrument tracks generated solely from a t
"Guitar played folk style."
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"Slow evolving pad synth."
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"A vibrant, funky bassline characterized by the electrifying slap technique, where each note pops with a distinct rhythmic snap and sizzle."
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"A pulsating techno drum beat, where a deep bass kick thunders every quarter note, creating a relentless and hypnotic pulse."
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@@ -350,29 +350,29 @@ In this section, we show single instrument tracks generated without context or C
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@@ -403,48 +403,48 @@ In the following examples, all tracks are inpainted from second 5 to 8.
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@@ -460,53 +460,53 @@ We can interpolate between different references in the CLAP space. Here, we demo
Audio Reference
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$$ r = 0 $$
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$$ r = 0.2 $$
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$$ r = 0.4 $$
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$$ r = 0.6 $$
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$$ r = 0.8 $$
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$$ r = 1 $$
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Text Prompt
@@ -537,28 +537,28 @@ Given an audio file, we can encode it in the CAE latent space and get the corres
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@@ -583,22 +583,22 @@ Following the same principle as for variations, for any mono signal, we can crea
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@@ -620,40 +620,40 @@ By repeating a portion of the data being denoised, we can enforce repetitions in