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TAPE: Learning General Audio Effect Representations

Long, Phillip et al.
arXiv (All) · Papers
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artificial-intelligenceaudio-and-speech-processingmachine-learningsound
Musicians and mixing engineers often can decipher the signal processing chain they hear on a reference recording, then adapt it to new material. We present TAPE (Transformations of Audio Parameter Embeddings), which estimates this processing from the processed reference audio alone. An encoder train
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