1 code implementation • 21 May 2021 • Pritish Chandna, António Ramires, Xavier Serra, Emilia Gómez
Loops, seamlessly repeatable musical segments, are a cornerstone of modern music production.
1 code implementation • 21 Sep 2020 • Pritish Chandna, Helena Cuesta, Emilia Gómez
Unison singing is the name given to an ensemble of singers simultaneously singing the same melody and lyrics.
no code implementations • 17 Aug 2020 • Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gomez
However, most of the research has been focused on a typical case which consists in separating vocal, percussion and bass sources from a mixture, each of which has a distinct spectral structure.
1 code implementation • 12 Feb 2020 • Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gomez
We present a deep learning based methodology for extracting the singing voice signal from a musical mixture based on the underlying linguistic content.
1 code implementation • 25 Nov 2019 • António Ramires, Pritish Chandna, Xavier Favory, Emilia Gómez, Xavier Serra
We present a deep neural network-based methodology for synthesising percussive sounds with control over high-level timbral characteristics of the sounds.
no code implementations • 10 Apr 2019 • Helena Cuesta, Emilia Gómez, Pritish Chandna
We observe, however, that the scenario of multiple singers for each choir part (i. e. unison singing) is far more challenging.
2 code implementations • 26 Mar 2019 • Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gomez
We present a deep neural network based singing voice synthesizer, inspired by the Deep Convolutions Generative Adversarial Networks (DCGAN) architecture and optimized using the Wasserstein-GAN algorithm.
Sound Audio and Speech Processing
1 code implementation • Interspeech 2019 • Pritish Chandna, Merlijn Blaauw
We present a deep neural network based singing voice synthesizer, inspired by the Deep Convolutions Generative Adversarial Networks (DCGAN) architecture and optimized using the Wasserstein-GAN algorithm.
no code implementations • 9 Jul 2018 • Emilia Gómez, Merlijn Blaauw, Jordi Bonada, Pritish Chandna, Helena Cuesta
This paper summarizes some recent advances on a set of tasks related to the processing of singing using state-of-the-art deep learning techniques.