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 …

The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …

Emotional speech synthesis aims to synthesize human voices with various emotional effects.
The current studies are mostly focused on imitating an averaged style belonging to a specific …

Emotional voice conversion (EVC) seeks to convert the emotional state of an utterance while
preserving the linguistic content and speaker identity. In EVC, emotions are usually treated …

Speech emotion conversion is the task of modifying the perceived emotion of a speech
utterance while preserving the lexical content and speaker identity. In this study, we cast the …

Emotional voice conversion (EVC) focuses on converting a speech utterance from a source
to a target emotion; it can thus be a key enabling technology for human-computer interaction …

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 …

In this paper, we propose Prosody-aware VITS (PAVITS) for emotional voice conversion
(EVC), aiming to achieve two major objectives of EVC: high content naturalness and high …

Primary goal of an emotional voice conversion (EVC) system is to convert the emotion of a
given speech signal from one style to another style without modifying the linguistic content of …

Current emotional text-to-speech (TTS) systems face challenges in mimicking a broad
spectrum of human emotions due to the inherent complexity of emotions and limitations in …