most citedMulti-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos

40 citations · 93 across the 11 of their papers we have counts for

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eess.AS2019★ 9 cited

Zero-Shot Multi-Speaker Text-To-Speech with State-of-the-art Neural Speaker Embeddings

Erica Cooper, Cheng-I Lai, Yusuke Yasuda +4

While speaker adaptation for end-to-end speech synthesis using speaker embeddings can produce good speaker similarity for speakers seen during training, there remains a gap for zer…

eess.AS2019★ 8 cited

Speaker Anonymization Using X-vector and Neural Waveform Models

Fuming Fang, Xin Wang, Junichi Yamagishi +4

The social media revolution has produced a plethora of web services to which users can easily upload and share multimedia documents. Despite the popularity and convenience of such…

eess.AS2019★ 8 cited

Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet

Mingyang Zhang, Xin Wang, Fuming Fang +2

We investigated the training of a shared model for both text-to-speech (TTS) and voice conversion (VC) tasks. We propose using an extended model architecture of Tacotron, that is a…

eess.AS2018

Audiovisual speaker conversion: jointly and simultaneously transforming facial expression and acoustic characteristics

Fuming Fang, Xin Wang, Junichi Yamagishi +1

An audiovisual speaker conversion method is presented for simultaneously transforming the facial expressions and voice of a source speaker into those of a target speaker. Transform…

eess.AS2018★ 11 cited

High-quality nonparallel voice conversion based on cycle-consistent adversarial network

Fuming Fang, Junichi Yamagishi, Isao Echizen +1

Although voice conversion (VC) algorithms have achieved remarkable success along with the development of machine learning, superior performance is still difficult to achieve when u…

eess.AS2018★ 6 cited

Can we steal your vocal identity from the Internet?: Initial investigation of cloning Obama's voice using GAN, WaveNet and low-quality found data

Jaime Lorenzo-Trueba, Fuming Fang, Xin Wang +3

Thanks to the growing availability of spoofing databases and rapid advances in using them, systems for detecting voice spoofing attacks are becoming more and more capable, and erro…