Pritish Chandna

According to our database, Pritish Chandna authored at least 12 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Voice conversion with limited data and limitless data augmentations.

Olga Slizovskaia, Jordi Janer, Pritish Chandna, Oscar Mayor

CoRR, 2022

2021

Neural networks for singing voice extraction in monaural polyphonic music signals.

Pritish Chandna

PhD thesis, 2021

Loopnet: Musical Loop Synthesis Conditioned on Intuitive Musical Parameters.

Pritish Chandna, António Ramires, Xavier Serra, Emilia Gómez

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Deep Learning Based Source Separation Applied To Choir Ensembles.

Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gómez

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

A Deep Learning Based Analysis-Synthesis Framework For Unison Singing.

Pritish Chandna, Helena Cuesta, Emilia Gómez

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Neural Percussive Synthesis Parameterised by High-Level Timbral Features.

António Ramires, Pritish Chandna, Xavier Favory, Emilia Gómez, Xavier Serra

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Content Based Singing Voice Extraction from a Musical Mixture.

Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A Framework for Multi-f0 Modeling in SATB Choir Recordings.

Helena Cuesta, Emilia Gómez, Pritish Chandna

CoRR, 2019

A Vocoder Based Method for Singing Voice Extraction.

Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez

Proceedings of the IEEE International Conference on Acoustics, 2019

WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN.

Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners.

Emilia Gómez, Merlijn Blaauw, Jordi Bonada, Pritish Chandna, Helena Cuesta

CoRR, 2018

2017

Monoaural Audio Source Separation Using Deep Convolutional Neural Networks.

Pritish Chandna, Marius Miron, Jordi Janer, Emilia Gómez

Proceedings of the Latent Variable Analysis and Signal Separation, 2017