The paper proposes an integrated speech emotion conversion framework developed using
speaker-independent mixed-lingual training. The key contribution of the work is non-parallel …

We propose a hybrid network-based learning framework for speaker-adaptive vocal emotion
conversion, tested on three different datasets (languages), namely, EmoDB (German) …

Speech is the most basic and widely used method for communication. There is a growing
need for an expressive speech synthesis especially, when human want to communicate with …

Emotional voice conversion systems are used to formulate map** functions to transform
the neutral speech from output of text-to-speech systems to that of target emotion …

With the continuous development of science and technology, especially computer
technology, people need a more convenient and natural way to communicate with the …

Expressive speech can be synthesized using acoustic feature modeling by map** the
spectral and fundamental frequency parameters between neutral speech and target …

Storytelling speech entails a particular speaking style that contains subtle expressive
nuances represented by specific acoustic cues. In the literature, different pieces of research …

An emotion is made of several components such as physiological changes in the body,
subjective feelings and expressive behaviors. These changes in speech signal are mainly …

In storytelling style, a storyteller generally uses prosodic variations with subtle speech
nuances for the better apprehension of the listeners. It is achieved by emphasizing …

The primary objective of this work is to compare patterns for vocal expression across distinct
linguistic contexts. Five language (datasets) are taken for experimentation viz. German …