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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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06/01/2021
Omnizart: A General Toolbox for Automatic Music Transcription
We present and release Omnizart, a new Python library that provides a st...
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04/14/2021
Revisiting the Onsets and Frames Model with Additive Attention
Recent advances in automatic music transcription (AMT) have achieved hig...
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10/23/2020
Toward Expressive Singing Voice Correction: On Perceptual Validity of Evaluation Metrics for Vocal Melody Extraction
Singing voice correction (SVC) is an appealing application for amateur s...
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10/20/2020
The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy
Most of the state-of-the-art automatic music transcription (AMT) models ...
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06/16/2020
Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance
We present a controllable neural audio synthesizer based on Gaussian Mix...
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01/25/2020
Regression-based music emotion prediction using triplet neural networks
In this paper, we adapt triplet neural networks (TNNs) to a regression t...
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12/03/2019
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders
We propose a flexible framework that deals with both singer conversion a...
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06/19/2019