Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations

Krishna Subramani, Paris Smaragdis, Takuya Higuchi +1

Non-negative Matrix Factorization (NMF) is a powerful technique for analyzing regularly-sampled data, i.e., data that can be stored in a matrix. For audio, this has led to numerous…