| 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 | 252 | 2017 |
| 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 | 75 | 2019 |
| 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 | 27 | 2020 |
| 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 | 27 | 2020 |
| 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 | 21 | 2018 |
| 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 | 17 | 2020 |
| 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 | 15 | 2019 |
| A framework for multi-f0 modeling in SATB choir recordings H Cuesta, E Gómez, P Chandna arXiv preprint arXiv:1904.05086, 2019 | 7 | 2019 |
| 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 | 6 | 2022 |
| 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 | 5 | 2021 |
| A deep learning based analysis-synthesis framework for unison singing P Chandna, H Cuesta, E Gómez arXiv preprint arXiv:2009.09875, 2020 | 5 | 2020 |
| Neural networks for singing voice extraction in monaural polyphonic music signals P Chandna Universitat Pompeu Fabra, 2021 | 1 | 2021 |
| 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 | 1 | 2017 |
| 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 | | |
