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∙ 09/05/2023

Symbolic Music Representations for Classification Tasks: A Systematic Evaluation

Music Information Retrieval (MIR) has seen a recent surge in deep learni...

0 Huan Zhang, et al. ∙

∙ 02/27/2023

A Comparative Analysis Of Latent Regressor Losses For Singing Voice Conversion

Previous research has shown that established techniques for spoken voice...

0 Brendan O'Connor, et al. ∙

∙ 08/24/2022

Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model

Lyric interpretations can help people understand songs and their lyrics ...

0 Yixiao Zhang, et al. ∙

∙ 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...

13 Yin-Jyun Luo, et al. ∙

∙ 04/19/2022

A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization

Performance-score synchronization is an integral task in signal processi...

0 Ruchit Agrawal, et al. ∙

∙ 11/16/2021

Zero-shot Singing Technique Conversion

In this paper we propose modifications to the neural network framework, ...

0 Brendan O'Connor, et al. ∙

∙ 11/16/2021

An Exploratory Study on Perceptual Spaces of the Singing Voice

Sixty participants provided dissimilarity ratings between various singin...

0 Brendan O'Connor, et al. ∙

∙ 08/05/2021

MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription

This paper makes several contributions to automatic lyrics transcription...

0 Emir Demirel, et al. ∙

∙ 07/28/2021

Pitch-Informed Instrument Assignment Using a Deep Convolutional Network with Multiple Kernel Shapes

This paper proposes a deep convolutional neural network for performing n...

0 Carlos Lordelo, et al. ∙

∙ 06/21/2021

Computational Pronunciation Analysis in Sung Utterances

Recent automatic lyrics transcription (ALT) approaches focus on building...

0 Emir Demirel, et al. ∙

∙ 02/18/2021

Low Resource Audio-to-Lyrics Alignment From Polyphonic Music Recordings

Lyrics alignment in long music recordings can be memory exhaustive when ...

0 Emir Demirel, et al. ∙

∙ 01/31/2021

Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks

The identification of structural differences between a music performance...

0 Ruchit Agrawal, et al. ∙

∙ 01/03/2021

Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation

This paper addresses the problem of domain adaptation for the task of mu...

0 Carlos Lordelo, et al. ∙

∙ 11/15/2020

Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment

Audio-to-score alignment aims at generating an accurate mapping between ...

0 Ruchit Agrawal, et al. ∙

∙ 07/28/2020

A Hybrid Approach to Audio-to-Score Alignment

Audio-to-score alignment aims at generating an accurate mapping between ...

0 Ruchit Agrawal, et al. ∙

∙ 07/13/2020

Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention

Speech recognition is a well developed research field so that the curren...

0 Emir Demirel, et al. ∙

∙ 05/15/2020

Reliable Local Explanations for Machine Listening

One way to analyse the behaviour of machine learning models is through l...

0 Saumitra Mishra, et al. ∙

∙ 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...

0 Daniel Stoller, et al. ∙

∙ 05/29/2019

Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators

Generative adversarial networks (GANs) have shown great success in appli...

0 Daniel Stoller, et al. ∙

∙ 05/06/2019

Investigating kernel shapes and skip connections for deep learning-based harmonic-percussive separation

In this paper we propose an efficient deep learning encoder-decoder netw...

0 Carlos Lordelo, et al. ∙

∙ 04/21/2019

GAN-based Generation and Automatic Selection of Explanations for Neural Networks

One way to interpret trained deep neural networks (DNNs) is by inspectin...

0 Saumitra Mishra, et al. ∙

∙ 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...

0 Daniel Stoller, et al. ∙

∙ 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...

0 Daniel Stoller, et al. ∙

∙ 02/14/2018

Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders

The expressive nature of the voice provides a powerful medium for commun...

0 Adib Mehrabi, et al. ∙

∙ 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 ...

0 Daniel Stoller, et al. ∙

∙ 08/07/2015

An End-to-End Neural Network for Polyphonic Piano Music Transcription

We present a supervised neural network model for polyphonic piano music ...

0 Siddharth Sigtia, et al. ∙

∙ 07/09/2014

Identifying Cover Songs Using Information-Theoretic Measures of Similarity

This paper investigates methods for quantifying similarity between audio...

0 Peter Foster, et al. ∙

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