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Pritish Chandna
Pritish Chandna
Universitat Pompeu Fabra
Geverifieerd e-mailadres voor voicemod.net
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Monoaural audio source separation using deep convolutional neural networks
P Chandna, M Miron, J Janer, E Gómez
Latent Variable Analysis and Signal Separation: 13th International …, 2017
2592017
Wgansing: A multi-voice singing voice synthesizer based on the wasserstein-gan
P Chandna, M Blaauw, J Bonada, E Gómez
2019 27th European signal processing conference (EUSIPCO), 1-5, 2019
782019
Deep learning based source separation applied to choir ensembles
D Petermann, P Chandna, H Cuesta, J Bonada, E Gómez
arXiv preprint arXiv:2008.07645, 2020
272020
Neural percussive synthesis parameterised by high-level timbral features
A Ramires, P Chandna, X Favory, E Gómez, X Serra
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
272020
Deep learning for singing processing: Achievements, challenges and impact on singers and listeners
E Gómez, M Blaauw, J Bonada, P Chandna, H Cuesta
arXiv preprint arXiv:1807.03046, 2018
212018
Content based singing voice extraction from a musical mixture
P Chandna, M Blaauw, J Bonada, E Gómez
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
182020
A vocoder based method for singing voice extraction
P Chandna, M Blaauw, J Bonada, E Gomez
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
162019
A deep-learning based framework for source separation, analysis, and synthesis of choral ensembles
P Chandna, H Cuesta, D Petermann, E Gómez
Frontiers in Signal Processing 2, 808594, 2022
72022
A framework for multi-f0 modeling in SATB choir recordings
H Cuesta, E Gómez, P Chandna
arXiv preprint arXiv:1904.05086, 2019
72019
Loopnet: Musical loop synthesis conditioned on intuitive musical parameters
P Chandna, A Ramires, X Serra, E Gómez
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
52021
A deep learning based analysis-synthesis framework for unison singing
P Chandna, H Cuesta, E Gómez
arXiv preprint arXiv:2009.09875, 2020
52020
Neural networks for singing voice extraction in monaural polyphonic music signals
P Chandna
Universitat Pompeu Fabra, 2021
12021
Experiments in Making VOCALOID Synthesis More Human-like Using Deep Learning
M Wilson, P Chandna, R Daido, Y Hisaminato
Parameters 15 (307,830), 2,109,969, 2017
12017
Voice conversion with limited data and limitless data augmentations
O Slizovskaia, J Janer, P Chandna, O Mayor
arXiv preprint arXiv:2212.13581, 2022
2022
Neural networks for singing voice processing in polyphonic music signals
P Chandna
Universitat Pompeu Fabra, 2021
2021
3.4 Generative Models for Singing Voice
P Chandna
Computational Methods for Melody and Voice Processing in Music Recordings, 137, 0
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Artikelen 1–16