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Showing 1 to 1 of 1 for “"Non-negative autoencoders, non-negative matrix facttorization, source separation, end-to-end"”.
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End-to-end non-negative auto-encoders: a deep neural alternative to non-negative audio modeling
Over the last decade, non-negative matrix factorization (NMF) has emerged as one of the most popular approaches to modeling audio signals. NMF allows us to factorize the magnitude spectrogram to learn representative spectral bases that can be used for a wide range of applications. With the recent …