most citedA Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments

20 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS202020 cited

A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments

Youngmoon Jung, Yeunju Choi, Hyungjun Lim +1

Speaker verification (SV) has recently attracted considerable research interest due to the growing popularity of virtual assistants. At the same time, there is an increasing requir…

eess.AS2020

Domain-adversarial training of multi-speaker TTS

Sunghee Jung, Hoirin Kim

Multi-speaker TTS has to learn both linguistic embedding and text embedding to generate speech of desired linguistic content in desired voice. However, it is unclear which characte…

eess.AS2020

Neural voice cloning with a few low-quality samples

Sunghee Jung, Hoirin Kim

In this paper, we explore the possibility of speech synthesis from low quality found data using only limited number of samples of target speaker. We try to extract only the speaker…

eess.AS2020

Non-parallel voice conversion based on source-to-target direct mapping

Sunghee Jung, Youngjoo Suh, Yeunju Choi +1

Recent works of utilizing phonetic posteriograms (PPGs) for non-parallel voice conversion have significantly increased the usability of voice conversion since the source and target…

eess.AS20202 cited

Pitchtron: Towards audiobook generation from ordinary people's voices

Sunghee Jung, Hoirin Kim

In this paper, we explore prosody transfer for audiobook generation under rather realistic condition where training DB is plain audio mostly from multiple ordinary people and refer…

eess.AS2020

Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention

Myunghun Jung, Youngmoon Jung, Jahyun Goo +1

Keyword spotting (KWS) and speaker verification (SV) have been studied independently although it is known that acoustic and speaker domains are complementary. In this paper, we pro…