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10/21/2022
BEANS: The Benchmark of Animal Sounds
The use of machine learning (ML) based techniques has become increasingl...
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10/19/2022
Modeling Animal Vocalizations through Synthesizers
Modeling real-world sound is a fundamental problem in the creative use o...
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10/08/2021
KaraSinger: Score-Free Singing Voice Synthesis with VQ-VAE using Mel-spectrograms
In this paper, we propose a novel neural network model called KaraSinger...
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01/07/2021
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
To apply neural sequence models such as the Transformers to music genera...
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05/18/2020
Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization
In a recent paper, we have presented a generative adversarial network (G...
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12/26/2019
Score and Lyrics-Free Singing Voice Generation
Generative models for singing voice have been mostly concerned with the ...
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06/04/2019
Dilated Convolution with Dilated GRU for Music Source Separation
Stacked dilated convolutions used in Wavenet have been shown effective f...
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07/06/2018
Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks
Can we make a famous rap singer like Eminem sing whatever our favorite s...
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07/05/2018
Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation
Convolutional neural networks with skip connections have shown good perf...
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05/05/2018
Weakly-supervised Visual Instrument-playing Action Detection in Videos
Instrument playing is among the most common scenes in music-related vide...
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04/05/2017
Revisiting the problem of audio-based hit song prediction using convolutional neural networks
Being able to predict whether a song can be a hit has impor- tant applic...
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08/26/2016