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Music Source Separation

12 papers with code ยท Music

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Multi-task U-Net for Music Source Separation

23 Mar 2020

However, Conditioned U-Net (C-U-Net) uses a control mechanism to train a single model for multi-source separation and attempts to achieve a performance comparable to that of the dedicated models.

MUSIC SOURCE SEPARATION

Voice and accompaniment separation in music using self-attention convolutional neural network

19 Mar 2020

First, a convolutional neural network (CNN) with densely-connected CNN blocks is built as our base network.

MUSIC SOURCE SEPARATION

Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform

28 Jan 2020

With this belief, focusing on the fact that the DWT has an anti-aliasing filter and the perfect reconstruction property, we design the proposed layers.

AUDIO SOURCE SEPARATION MUSIC SOURCE SEPARATION

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

Music Source Separation in the Waveform Domain

ICLR 2020

Experiments on the MusDB dataset show that Demucs beats previously reported results in terms of signal to distortion ratio (SDR), but lower than Conv-Tasnet.

AUDIO GENERATION MUSIC SOURCE SEPARATION

Bootstrapping deep music separation from primitive auditory grouping principles

23 Oct 2019

They are trained on synthetic mixtures of audio made from isolated sound source recordings so that ground truth for the separation is known.

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

Sams-Net: A Sliced Attention-based Neural Network for Music Source Separation

12 Sep 2019

Convolutional Neural Network (CNN) or Long short-term memory (LSTM) based models with the input of spectrogram or waveforms are commonly used for deep learning based audio source separation.

AUDIO SOURCE SEPARATION 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