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06/13/2023
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages
Lyrics alignment gained considerable attention in recent years. State-of...
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05/12/2022
Towards Robust Unsupervised Disentanglement of Sequential Data – A Case Study Using Music Audio
Disentangled sequential autoencoders (DSAEs) represent a class of probab...
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02/03/2022
Improving Lyrics Alignment through Joint Pitch Detection
In recent years, the accuracy of automatic lyrics alignment methods has ...
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11/14/2019
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
Convolutional neural networks (CNNs) with dilated filters such as the Wa...
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05/29/2019
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators
Generative adversarial networks (GANs) have shown great success in appli...
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02/18/2019
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model
Time-aligned lyrics can enrich the music listening experience by enablin...
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06/08/2018
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Models for audio source separation usually operate on the magnitude spec...
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04/05/2018
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach
A main challenge in applying deep learning to music processing is the av...
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11/01/2017
Shift-Invariant Kernel Additive Modelling for Audio Source Separation
A major goal in blind source separation to identify and separate sources...
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10/31/2017
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction
The state of the art in music source separation employs neural networks ...
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07/01/2017
