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Found 3 papers, 1 papers with code
Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations
Non-negative Matrix Factorization (NMF) is a powerful technique for analyzing regularly-sampled data, i. e., data that can be stored in a matrix.
Resource-constrained stereo singing voice cancellation
We study the problem of stereo singing voice cancellation, a subtask of music source separation, whose goal is to estimate an instrumental background from a stereo mix.
Dynamic curriculum learning via data parameters for noise robust keyword spotting
We propose dynamic curriculum learning via data parameters for noise robust keyword spotting.
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