6 citations · 8 across the 4 of their papers we have counts for
4 papers
Vocal Timbre Effects with Differentiable Digital Signal Processing
David Südholt, Cumhur Erkut
We explore two approaches to creatively altering vocal timbre using Differentiable Digital Signal Processing (DDSP). The first approach is inspired by classic cross-synthesis techn…
Differentiable Allpass Filters for Phase Response Estimation and Automatic Signal Alignment
Anders R. Bargum, Stefania Serafin, Cumhur Erkut +1
Virtual analog (VA) audio effects are increasingly based on neural networks and deep learning frameworks. Due to the underlying black-box methodology, a successful model will learn…
Real-time Timbre Transfer and Sound Synthesis using DDSP
Francesco Ganis, Erik Frej Knudesn, Søren V. K. Lyster +3
Neural audio synthesis is an actively researched topic, having yielded a wide range of techniques that leverages machine learning architectures. Google Magenta elaborated a novel a…
Latent Space Explorations of Singing Voice Synthesis using DDSP
Juan Alonso, Cumhur Erkut
Machine learning based singing voice models require large datasets and lengthy training times. In this work we present a lightweight architecture, based on the Differentiable Digit…