Speaker identity is one of the important characteristics of human speech. In voice
conversion, we change the speaker identity from one to another, while keeping the linguistic …

Voice conversion is a process where the essence of a speaker's identity is seamlessly
transferred to another speaker, all while preserving the content of their speech. This usage is …

Statistical voice conversion (VC) is a technique to convert specific non-or paralinguistic
information while keeping linguistic information unchanged, and speaker conversion has …

We present the Voice Conversion Challenge 2018, designed as a follow up to the 2016
edition with the aim of providing a common framework for evaluating and comparing …

This article proposes a voice conversion (VC) method using sequence-to-sequence
(seq2seq or S2S) learning, which flexibly converts not only the voice characteristics but also …

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 …

This paper describes the Voice Conversion Challenge 2016 devised by the authors to better
understand different voice conversion (VC) techniques by comparing their performance on a …

This paper presents the sequence-to-sequence (seq2seq) baseline system for the voice
conversion challenge (VCC) 2020. We consider a naive approach for voice conversion (VC) …

In this paper, a neural network named sequence-to-sequence ConvErsion NeTwork
(SCENT) is presented for acoustic modeling in voice conversion. At training stage, a SCENT …

This paper presents a new spectral envelope conversion method using deep neural
networks (DNNs). The conventional joint density Gaussian mixture model (JDGMM) based …