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 …

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 …

In contrast to the conventional minimum mean square error (MMSE)-based noise reduction
techniques, we propose a supervised method to enhance speech by means of finding a …

In this paper, we describe a novel spectral conversion method for voice conversion (VC). A
Gaussian mixture model (GMM) of the joint probability density of source and target features …

Non-parallel many-to-many voice conversion remains an interesting but challenging speech
processing task. Many style-transfer-inspired methods such as generative adversarial …

This paper investigates the approaches of building WaveNet vocoders with limited training
data for voice conversion (VC). Current VC systems using statistical acoustic models always …

This paper describes a novel parameter generation algorithm for an HMM-based speech
synthesis technique. The conventional algorithm generates a parameter trajectory of static …

In this paper, we propose to use artificial neural networks (ANN) for voice conversion. We
have exploited the map** abilities of ANN to perform map** of spectral features of a …

Emotion is an important element in expressive speech synthesis. Unlike traditional discrete
emotion simulations, this paper attempts to synthesize emotional speech by using" strong"," …

Voice transformation refers to the various modifications one may apply to the sound
produced by a person, speaking or singing. Voice transformation is usually seen as an add …