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TimbreCLIP: Connecting Timbre to Text and Images
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TimbreCLIP: Connecting Timbre to Text and Images
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We present work in progress on TimbreCLIP, an audio-text cross modal embedding trained on single instrument notes. We evaluate the models with a cross-modal retrieval task on synth patches. Finally, we demonstrate the application of TimbreCLIP on two tasks: text-driven audio equalization and timbre to image generation.
Forward citations
Cited by 2 Pith papers
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Testing chatbots on the creation of encoders for audio conditioned image generation
All chatbot-designed audio encoders failed to align with CLIP text embeddings and produced incoherent images, while showing a surprising architectural similarity across chatbots.
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Effectively obtaining acoustic, visual and textual data from videos
A video-processing pipeline created a 2.24 million-sample audio-image-text dataset, with text captions generated by BLIP from video frames.
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