activity
20192024
most citedProactive Retrieval-based Chatbots based on Relevant Knowledge and Goals

21 citations · 31 across the 6 of their papers we have counts for

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Showing cs.SDShow all

5 papers · 1 filter

cs.SD2024

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…

cs.SD2024

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…

cs.SD20206 cited

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…

cs.SD2020

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…

cs.SD2020

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…