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Music Source Separation

6 papers with code ยท Music

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Music Source Separation in the Waveform Domain

ICLR 2020

Source separation for music is the task of isolating contributions, or stems, from different instruments recorded individually and arranged together to form a song. Such components include voice, bass, drums and any other accompaniments.

MUSIC SOURCE SEPARATION

Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity

18 Sep 2019

In this paper, we present the synthesized Lakh dataset (Slakh) as a new tool for music source separation research.

DATA AUGMENTATION MUSIC SOURCE SEPARATION

Dilated Convolution with Dilated GRU for Music Source Separation

4 Jun 2019

To reach information at remote locations, we propose to combine dilated convolution with a modified version of gated recurrent units (GRU) called the `Dilated GRU' to form a block.

MUSIC SOURCE SEPARATION

Examining the Mapping Functions of Denoising Autoencoders in Music Source Separation

12 Apr 2019

We examine the mapping functions of neural networks that are based on the denoising autoencoder (DAE) model, and conditioned on the mixture magnitude spectra.

DENOISING MUSIC SOURCE SEPARATION

Spectrogram Feature Losses for Music Source Separation

15 Jan 2019

In this paper we study deep learning-based music source separation, and explore using an alternative loss to the standard spectrogram pixel-level L2 loss for model training.

MUSIC SOURCE SEPARATION

Class-conditional embeddings for music source separation

7 Nov 2018

Isolating individual instruments in a musical mixture has a myriad of potential applications, and seems imminently achievable given the levels of performance reached by recent deep learning methods.

MUSIC SOURCE SEPARATION

End-to-End Sound Source Separation Conditioned On Instrument Labels

5 Nov 2018

Can we perform an end-to-end music source separation with a variable number of sources using a deep learning model?

MUSIC SOURCE SEPARATION

Improving DNN-based Music Source Separation using Phase Features

7 Jul 2018

Music source separation with deep neural networks typically relies only on amplitude features.

MUSIC SOURCE SEPARATION

Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation

5 Jul 2018

In this work, we propose a denoising Auto-encoder with Recurrent skip Connections (ARC).

DENOISING MUSIC SOURCE SEPARATION

Deep Clustering and Conventional Networks for Music Separation: Stronger Together

18 Nov 2016

Deep clustering is the first method to handle general audio separation scenarios with multiple sources of the same type and an arbitrary number of sources, performing impressively in speaker-independent speech separation tasks.

MULTI-TASK LEARNING MUSIC SOURCE SEPARATION SPEECH SEPARATION