Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Erkut, Cumhur"'
Voice conversion has gained increasing popularity within the field of audio manipulation and speech synthesis. Often, the main objective is to transfer the input identity to that of a target speaker without changing its linguistic content. While curr
Externí odkaz:
http://arxiv.org/abs/2408.16546
Research on deep learning-powered voice conversion (VC) in speech-to-speech scenarios is getting increasingly popular. Although many of the works in the field of voice conversion share a common global pipeline, there is a considerable diversity in th
Externí odkaz:
http://arxiv.org/abs/2311.08104
Autor:
Südholt, David, Erkut, Cumhur
We explore two approaches to creatively altering vocal timbre using Differentiable Digital Signal Processing (DDSP). The first approach is inspired by classic cross-synthesis techniques. A pretrained DDSP decoder predicts a filter for a noise source
Externí odkaz:
http://arxiv.org/abs/2306.10886
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 to approximate the data it is presented, including potential errors s
Externí odkaz:
http://arxiv.org/abs/2306.00860
Autor:
Ganis, Francesco, Knudesn, Erik Frej, Lyster, Søren V. K., Otterbein, Robin, Südholt, David, Erkut, Cumhur
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 approach called Differential Digital Signal Processing (DDSP) that inco
Externí odkaz:
http://arxiv.org/abs/2103.07220
Autor:
Alonso, Juan, Erkut, Cumhur
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 Digital Signal Processing (DDSP) library, that is able to output song-like
Externí odkaz:
http://arxiv.org/abs/2103.07197
Publikováno v:
Frontiers in Signal Processing; 2024, p1-25, 25p
Publikováno v:
Computer Music Journal, 2003 Apr 01. 27(1), 71-82.
Externí odkaz:
https://www.jstor.org/stable/3681583
Publikováno v:
Computer Music Journal, 2001 Oct 01. 25(3), 38-49.
Externí odkaz:
https://www.jstor.org/stable/3681428
Publikováno v:
In Applied Acoustics 15 December 2016 114:230-239