55 citations · 111 across the 8 of their papers we have counts for
4 papers · 1 filter
Neural Percussive Synthesis Parameterised by High-Level Timbral Features
António Ramires, Pritish Chandna, Xavier Favory +2
We present a deep neural network-based methodology for synthesising percussive sounds with control over high-level timbral characteristics of the sounds. This approach allows for i…
A Vocoder Based Method For Singing Voice Extraction
Pritish Chandna, Merlijn Blaauw, Jordi Bonada +1
This paper presents a novel method for extracting the vocal track from a musical mixture. The musical mixture consists of a singing voice and a backing track which may comprise of…
A Framework for Multi-f0 Modeling in SATB Choir Recordings
Helena Cuesta, Emilia Gómez, Pritish Chandna
Fundamental frequency (f0) modeling is an important but relatively unexplored aspect of choir singing. Performance evaluation as well as auditory analysis of singing, whether indiv…
WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN
Pritish Chandna, Merlijn Blaauw, Jordi Bonada +1
We present a deep neural network based singing voice synthesizer, inspired by the Deep Convolutions Generative Adversarial Networks (DCGAN) architecture and optimized using the Was…