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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...
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02/27/2023
A Comparative Analysis Of Latent Regressor Losses For Singing Voice Conversion
Previous research has shown that established techniques for spoken voice...
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08/24/2022
Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model
Lyric interpretations can help people understand songs and their lyrics ...
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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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04/19/2022
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization
Performance-score synchronization is an integral task in signal processi...
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11/16/2021
Zero-shot Singing Technique Conversion
In this paper we propose modifications to the neural network framework, ...
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11/16/2021
An Exploratory Study on Perceptual Spaces of the Singing Voice
Sixty participants provided dissimilarity ratings between various singin...
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08/05/2021
MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription
This paper makes several contributions to automatic lyrics transcription...
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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...
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06/21/2021
Computational Pronunciation Analysis in Sung Utterances
Recent automatic lyrics transcription (ALT) approaches focus on building...
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02/18/2021
Low Resource Audio-to-Lyrics Alignment From Polyphonic Music Recordings
Lyrics alignment in long music recordings can be memory exhaustive when ...
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01/31/2021
Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks
The identification of structural differences between a music performance...
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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...
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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 ...
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07/28/2020
A Hybrid Approach to Audio-to-Score Alignment
Audio-to-score alignment aims at generating an accurate mapping between ...
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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...
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05/15/2020
Reliable Local Explanations for Machine Listening
One way to analyse the behaviour of machine learning models is through l...
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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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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...
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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...
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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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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...
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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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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 ...
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07/09/2014
