most citedDisentangled speaker and nuisance attribute embedding for robust speaker verification

15 citations · 22 across the 2 of their papers we have counts for

collaborators

6 papers

eess.AS202015 cited

Disentangled speaker and nuisance attribute embedding for robust speaker verification

Woo Hyun Kang, Sung Hwan Mun, Min Hyun Han +1

Over the recent years, various deep learning-based embedding methods have been proposed and have shown impressive performance in speaker verification. However, as in most of the cl…

cs.SD20207 cited

WaveNODE: A Continuous Normalizing Flow for Speech Synthesis

Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang +3

In recent years, various flow-based generative models have been proposed to generate high-fidelity waveforms in real-time. However, these models require either a well-trained teach…

cs.CL2020

Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation

Won Ik Cho, Donghyun Kwak, Ji Won Yoon +1

Speech is one of the most effective means of communication and is full of information that helps the transmission of utterer's thoughts. However, mainly due to the cumbersome proce…

cs.CL2019

Text Matters but Speech Influences: A Computational Analysis of Syntactic Ambiguity Resolution

Won Ik Cho, Jeonghwa Cho, Woo Hyun Kang +1

Analyzing how human beings resolve syntactic ambiguity has long been an issue of interest in the field of linguistics. It is, at the same time, one of the most challenging issues f…

cs.CL2019

On Measuring Gender Bias in Translation of Gender-neutral Pronouns

Won Ik Cho, Ji Won Kim, Seok Min Kim +1

Ethics regarding social bias has recently thrown striking issues in natural language processing. Especially for gender-related topics, the need for a system that reduces the model…

cs.CL2019

Investigating an Effective Character-level Embedding in Korean Sentence Classification

Won Ik Cho, Seok Min Kim, Nam Soo Kim

Different from the writing systems of many Romance and Germanic languages, some languages or language families show complex conjunct forms in character composition. For such cases…