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20182023
most citedSASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan

16 citations · 32 across the 22 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

eess.AS2020

Learning in your voice: Non-parallel voice conversion based on speaker consistency loss

Yoohwan Kwon, Soo-Whan Chung, Hee-Soo Heo +1

In this paper, we propose a novel voice conversion strategy to resolve the mismatch between the training and conversion scenarios when parallel speech corpus is unavailable for tra…

eess.AS2020★ 1 cited

MIRNet: Learning multiple identities representations in overlapped speech

Hyewon Han, Soo-Whan Chung, Hong-Goo Kang

Many approaches can derive information about a single speaker's identity from the speech by learning to recognize consistent characteristics of acoustic parameters. However, it is…

eess.AS2020★ 3 cited

Intra-class variation reduction of speaker representation in disentanglement framework

Yoohwan Kwon, Soo-Whan Chung, Hong-Goo Kang

In this paper, we propose an effective training strategy to ex-tract robust speaker representations from a speech signal. Oneof the key challenges in speaker recognition tasks is t…

cs.SD2020

FaceFilter: Audio-visual speech separation using still images

Soo-Whan Chung, Soyeon Choe, Joon Son Chung +1

The objective of this paper is to separate a target speaker's speech from a mixture of two speakers using a deep audio-visual speech separation network. Unlike previous works that…

cs.SD2020

Seeing voices and hearing voices: learning discriminative embeddings using cross-modal self-supervision

Soo-Whan Chung, Hong Goo Kang, Joon Son Chung

The goal of this work is to train discriminative cross-modal embeddings without access to manually annotated data. Recent advances in self-supervised learning have shown that effec…

eess.AS2020

Improving LPCNet-based Text-to-Speech with Linear Prediction-structured Mixture Density Network

Min-Jae Hwang, Eunwoo Song, Ryuichi Yamamoto +2

In this paper, we propose an improved LPCNet vocoder using a linear prediction (LP)-structured mixture density network (MDN). The recently proposed LPCNet vocoder has successfully…