2022/08/11 · Abstract:Emotional speech synthesis aims to synthesize human voices with various emotional effects. The current studies are mostly focused ...

Emotional speech synthesis aims to synthesize human voices with various emotional effects. Current studies mostly focus on imitating an averaged style belonging ...

Simulated emotional expression is typically very well recognized when limited to the display of some exaggerated prototypical emotions (Murray & Arnott 1993, ...

The modelling of emotion in speech relies on a number of parameters like, among others, fundamental frequency (F0) level, voice quality, or articulation ...

Abstract. We propose a new approach to synthesizing emotional speech by a corpus-based concatenative speech synthesis system (ATR CHATR) using speech ...

Generally, in the speech synthesis system, it makes models by learning the "normal" speech data base. However, if the system learns more emotional speech, ...

2024/01/16 · We introduce ED-TTS, a multi-scale emotional speech synthesis model that leverages Speech Emotion Diarization (SED) and Speech Emotion Recognition (SER) to ...

2023/02/11 · Simply put, it is to properly transfer the emotional expression from an emotional speaker to the target speaker while maintaining a good target ...

Our model enables emotion labels and prosody factors to control synthetic speech emotion. Experiment results show that the emotion- perceptual accuracy of ...

The biggest advantage of our approach is that it reduces the amount of emotional speech data necessary for training by focusing on non-linguistic information.