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Pritish Chandna
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Books and Theses
- 2021
- [b1]Pritish Chandna:
Neural networks for singing voice extraction in monaural polyphonic music signals. Pompeu Fabra University, Spain, 2021
Conference and Workshop Papers
- 2021
- [c8]Pritish Chandna, António Ramires, Xavier Serra, Emilia Gómez:
Loopnet: Musical Loop Synthesis Conditioned on Intuitive Musical Parameters. ICASSP 2021: 3395-3399 - 2020
- [c7]Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez:
Content Based Singing Voice Extraction from a Musical Mixture. ICASSP 2020: 781-785 - [c6]António Ramires, Pritish Chandna, Xavier Favory, Emilia Gómez, Xavier Serra
:
Neural Percussive Synthesis Parameterised by High-Level Timbral Features. ICASSP 2020: 786-790 - [c5]Pritish Chandna, Helena Cuesta, Emilia Gómez:
A Deep Learning Based Analysis-Synthesis Framework For Unison Singing. ISMIR 2020: 598-604 - [c4]Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gómez:
Deep Learning Based Source Separation Applied To Choir Ensembles. ISMIR 2020: 733-739 - 2019
- [c3]Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez:
WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN. EUSIPCO 2019: 1-5 - [c2]Pritish Chandna
, Merlijn Blaauw
, Jordi Bonada, Emilia Gómez:
A Vocoder Based Method for Singing Voice Extraction. ICASSP 2019: 990-994 - 2017
- [c1]Pritish Chandna, Marius Miron
, Jordi Janer, Emilia Gómez:
Monoaural Audio Source Separation Using Deep Convolutional Neural Networks. LVA/ICA 2017: 258-266
Informal and Other Publications
- 2022
- [i10]Olga Slizovskaia, Jordi Janer, Pritish Chandna, Oscar Mayor:
Voice conversion with limited data and limitless data augmentations. CoRR abs/2212.13581 (2022) - 2021
- [i9]Pritish Chandna, António Ramires, Xavier Serra, Emilia Gómez:
LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters. CoRR abs/2105.10371 (2021) - 2020
- [i8]Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez:
Content Based Singing Voice Extraction From a Musical Mixture. CoRR abs/2002.04933 (2020) - [i7]Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gómez:
Deep Learning Based Source Separation Applied To Choir Ensembles. CoRR abs/2008.07645 (2020) - [i6]Pritish Chandna, Helena Cuesta, Emilia Gómez:
A Deep Learning Based Analysis-Synthesis Framework For Unison Singing. CoRR abs/2009.09875 (2020) - 2019
- [i5]Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez:
A Vocoder Based Method For Singing Voice Extraction. CoRR abs/1903.07554 (2019) - [i4]Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez:
WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN. CoRR abs/1903.10729 (2019) - [i3]Helena Cuesta, Emilia Gómez, Pritish Chandna:
A Framework for Multi-f0 Modeling in SATB Choir Recordings. CoRR abs/1904.05086 (2019) - [i2]António Ramires, Pritish Chandna, Xavier Favory, Emilia Gómez, Xavier Serra:
Neural Percussive Synthesis Parameterised by High-Level Timbral Features. CoRR abs/1911.11853 (2019) - 2018
- [i1]Emilia Gómez, Merlijn Blaauw, Jordi Bonada, Pritish Chandna, Helena Cuesta:
Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners. CoRR abs/1807.03046 (2018)
Coauthor Index
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