Adjusting Pleasure-Arousal-Dominance for Continuous Emotional Text-to-speech Synthesizer
Abstract
Emotion is not limited to discrete categories of happy, sad, angry, fear, disgust, surprise, and so on. Instead, each emotion category is projected into a set of nearly independent dimensions, named pleasure (or valence), arousal, and dominance, known as PAD. The value of each dimension varies from -1 to 1, such that the neutral emotion is in the center with all-zero values. Training an emotional continuous text-to-speech (TTS) synthesizer on the independent dimensions provides the possibility of emotional speech synthesis with unlimited emotion categories. Our end-to-end neural speech synthesizer is based on the well-known Tacotron. Empirically, we have found the optimum network architecture for injecting the 3D PADs. Moreover, the PAD values are adjusted for the speech synthesis purpose.
Cite
@article{arxiv.1906.05507,
title = {Adjusting Pleasure-Arousal-Dominance for Continuous Emotional Text-to-speech Synthesizer},
author = {Azam Rabiee and Tae-Ho Kim and Soo-Young Lee},
journal= {arXiv preprint arXiv:1906.05507},
year = {2022}
}
Comments
Interspeech2019, Show and Tell demonstration https://www.youtube.com/watch?v=MAOk_ZxuA0I&feature=youtu.be