The utilization of deep learning techniques in generating various contents (such as image,
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …

Generative adversarial networks (GANs) have seen remarkable progress in recent years.
They are used as generative models for all kinds of data such as text, images, audio, music …

We present the latest iteration of the voice conversion challenge (VCC) series, a bi-annual
scientific event aiming to compare and understand different voice conversion (VC) systems …

A deepfake is content or material that is synthetically generated or manipulated using
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …

Emotional voice conversion aims to convert the spectrum and prosody to change the
emotional patterns of speech, while preserving the speaker identity and linguistic content …

Singing voice conversion (SVC) is one promising technique that can enrich the way of
human-computer interaction by en-dowing a computer the ability to produce high-fidelity and …

Emotional voice conversion (EVC) aims to convert the emotion of speech from one state to
another while preserving the linguistic content and speaker identity. In this paper, we study …

The term “differentiable digital signal processing” describes a family of techniques in which
loss function gradients are backpropagated through digital signal processors, facilitating …

This paper presents FastSVC, a light-weight cross-domain singing voice conversion (SVC)
system, which can achieve high conversion performance, with inference speed 4x faster …

We propose a flexible framework that deals with both singer conversion and singers vocal
technique conversion. The proposed model is trained on non-parallel corpora …