Search Results for author: Cumhur Erkut

Found 3 papers, 2 papers with code

Reimagining Speech: A Scoping Review of Deep Learning-Powered Voice Conversion

no code implementations14 Nov 2023 Anders R. Bargum, Stefania Serafin, Cumhur Erkut

Research on deep learning-powered voice conversion (VC) in speech-to-speech scenarios is getting increasingly popular.

Representation Learning Voice Conversion

Real-time Timbre Transfer and Sound Synthesis using DDSP

2 code implementations12 Mar 2021 Francesco Ganis, Erik Frej Knudesn, Søren V. K. Lyster, Robin Otterbein, David Südholt, Cumhur Erkut

In this paper, we present a real-time implementation of the DDSP library embedded in a virtual synthesizer as a plug-in that can be used in a Digital Audio Workstation.

Audio Synthesis

Latent Space Explorations of Singing Voice Synthesis using DDSP

1 code implementation12 Mar 2021 Juan Alonso, Cumhur Erkut

In this work we present a lightweight architecture, based on the Differentiable Digital Signal Processing (DDSP) library, that is able to output song-like utterances conditioned only on pitch and amplitude, after twelve hours of training using small datasets of unprocessed audio.

Singing Voice Synthesis

Cannot find the paper you are looking for? You can Submit a new open access paper.