21 citations · 31 across the 6 of their papers we have counts for
5 papers · 1 filter
Hierarchical Emotion Prediction and Control in Text-to-Speech Synthesis
Sho Inoue, Kun Zhou, Shuai Wang +1
It remains a challenge to effectively control the emotion rendering in text-to-speech (TTS) synthesis. Prior studies have primarily focused on learning a global prosodic representa…
Fine-Grained Quantitative Emotion Editing for Speech Generation
Sho Inoue, Kun Zhou, Shuai Wang +1
It remains a significant challenge how to quantitatively control the expressiveness of speech emotion in speech generation. In this work, we present a novel approach for manipulati…
VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech
Kun Zhou, Berrak Sisman, Haizhou Li
Emotional voice conversion (EVC) aims to convert the emotion of speech from one state to another while preserving the linguistic content and speaker identity. In this paper, we stu…
Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset
Kun Zhou, Berrak Sisman, Rui Liu +1
Emotional voice conversion aims to transform emotional prosody in speech while preserving the linguistic content and speaker identity. Prior studies show that it is possible to dis…
Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion
Kun Zhou, Berrak Sisman, Mingyang Zhang +1
Emotional voice conversion aims to convert the emotion of speech from one state to another while preserving the linguistic content and speaker identity. The prior studies on emotio…