Pritish Chandna
Title
Cited by
Cited by
Year
Monoaural audio source separation using deep convolutional neural networks
P Chandna, M Miron, J Janer, E Gómez
International conference on latent variable analysis and signal separation …, 2017
1492017
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
182019
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
92018
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
72019
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
52020
Deep learning based source separation applied to choir ensembles
D Petermann, P Chandna, H Cuesta, J Bonada, E Gomez
arXiv preprint arXiv:2008.07645, 2020
32020
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
32020
A Framework for multi-f0 modeling in SATB choir recordings
H Cuesta, E Gómez, P Chandna
arXiv preprint arXiv:1904.05086, 2019
32019
A deep learning based analysis-synthesis framework for unison singing
P Chandna, H Cuesta, E Gómez
arXiv preprint arXiv:2009.09875, 2020
22020
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
2017
3.4 Generative Models for Singing Voice
P Chandna
Computational Methods for Melody and Voice Processing in Music Recordings, 137, 0
The system can't perform the operation now. Try again later.
Articles 1–11