Speech is the fundamental mode of human communication, and its synthesis has long been
a core priority in human–computer interaction research. In recent years, machines have …

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 …

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

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 …

Emotional voice conversion (EVC) aims to change the emotional state of an utterance while
preserving the linguistic content and speaker identity. In this paper, we propose a novel 2 …

Despite advances in deep learning, current state-of-the-art speech emotion recognition
(SER) systems still have poor performance due to a lack of speech emotion datasets. This …

Emotional voice conversion involves modifying the pitch, spectral envelope, and other
acoustic characteristics of speech to match a desired emotional state while maintaining the …

Recently, few-shot voice cloning has achieved a significant improvement. However, most
models for few-shot voice cloning are single-modal, and multi-modal few-shot voice cloning …

Emotional voice conversion (EVC) is a task that converts an utterance's emotional features
into a target one while retaining semantic information and speaker identity. Recently, some …