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

21 citations · 100 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.SD2020★ 6 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★ 12 cited

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…

eess.AS2020

Spectrum and Prosody Conversion for Cross-lingual Voice Conversion with CycleGAN

Zongyang Du, Kun Zhou, Berrak Sisman +1

Cross-lingual voice conversion aims to change source speaker's voice to sound like that of target speaker, when source and target speakers speak different languages. It relies on n…

cs.SD2020★ 13 cited

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…

eess.AS2020★ 17 cited

Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data

Kun Zhou, Berrak Sisman, Haizhou Li

Emotional voice conversion aims to convert the spectrum and prosody to change the emotional patterns of speech, while preserving the speaker identity and linguistic content. Many s…