Note: This bibliographic page is archived and will no longer be updated. For an up-to-date list of publications from the Music Technology Group see the Publications list .

Biblio

Filters: Author is Pritish Chandna

2019

Chandna, P. , Blaauw M. , Bonada J. , & Gomez E. (2019). A Vocoder Based Method For Singing Voice Extraction . 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019). Abstract

2018

Gomez, E. , Blaauw M. , Bonada J. , Chandna P. , & Cuesta H. (2018). Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners . Keynote speech, 2018 Joint Workshop on Machine Learning for Music. The Federated Artificial Intelligence Meeting (FAIM), a joint workshop program of ICML, IJCAI/ECAI, and AAMAS.

2017

Chandna, P. , Miron M. , Janer J. , & Gómez E. (2017). Monoaural Audio Source Separation Using Deep Convolutional Neural Networks . 13th International Conference on Latent Variable Analysis and Signal Separation (LVA ICA2017).

2016

Chandna, P. (2016). Audio Source Separation Using Deep Neural Networks . Abstract