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 transformation (VT) aims to change one or more aspects of a speech signal while
preserving linguistic information. A subset of VT, Voice conversion (VC) specifically aims to …

We propose a parallel-data-free voice-conversion (VC) method that can learn a mapping
from source to target speech without relying on parallel data. The proposed method is …

A voice conversion system typically consists of two modules, the feature conversion module
that is followed by a vocoder. The exemplar-based sparse representation marks a success …

This paper presents a voice conversion framework that uses phonetic information in an
exemplar-based voice conversion approach. The proposed idea is motivated by the fact that …

Voice Conversion (VC) aims to convert one's voice to sound like that of another. So far, most
of the voice conversion frameworks mainly focus only on the conversion of spectrum. We …

Makeup (ie, cosmetics) has long been used to transform not only one's appearance but also
their self-representation. Previous studies have demonstrated that visual transformations …

In this paper, we propose a novel prosody transformation framework for voice conversion by
making use of phonetic information. The proposed framework is motivated by two …

Voice Conversion aims to convert one's voice to sound like that of another. This thesis is
focused on developing advanced machine learning algorithms and frameworks for voice …

Voice data is broadly acquired and utilized by consumer services. In order to process such
data, most of the raw records are sent to web servers, possibly with dedicated acceleration …