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

While biometric authentication has advanced significantly in recent years, evidence shows
the technology can be susceptible to malicious spoofing attacks. The research community …

In this paper, we first provide a review of the state-of-the-art emotional voice conversion
research, and the existing emotional speech databases. We then motivate the development …

We propose a flexible framework for spectral conversion (SC) that facilitates training with
unaligned corpora. Many SC frameworks require parallel corpora, phonetic alignments, or …

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 …

Hidden Markov models (HMMs) and Gaussian mixture models (GMMs) are the two most
common types of acoustic models used in statistical parametric approaches for generating …

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 …

We propose a nonparametric framework for voice conversion, that is, exemplar-based
sparse representation with residual compensation. In this framework, a spectrogram is …