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 …

ABSTRACT Automatic Speech Recognition (ASR) is an active field of research due to its
large number of applications and the proliferation of interfaces or computing devices that …

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 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 …

Large, pre-trained neural networks consisting of self-attention layers (transformers) have
recently achieved state-of-the-art results on several speech emotion recognition (SER) …

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 …

In this paper, we introduce a novel deep learning method for photo-realistic manipulation of
the emotional state of actors in" in-the-wild" videos. The proposed method is based on a …

There has been a significant progress in Text-To-Speech (TTS) synthesis technology in
recent years, thanks to the advancement in neural generative modeling. However, existing …

Voice conversion as the style transfer task applied to speech, refers to converting one
person's speech into a new speech that sounds like another person's. Up to now, there has …