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20182020
most citedA Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments

20 citations · 28 across the 4 of their papers we have counts for

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12 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

Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling

Yeunju Choi, Youngmoon Jung, Hoirin Kim

While deep learning has made impressive progress in speech synthesis and voice conversion, the assessment of the synthesized speech is still carried out by human participants. Seve…

eess.AS2020

Dynamic Noise Embedding: Noise Aware Training and Adaptation for Speech Enhancement

Joohyung Lee, Youngmoon Jung, Myunghun Jung +1

Estimating noise information exactly is crucial for noise aware training in speech applications including speech enhancement (SE) which is our focus in this paper. To estimate nois…

eess.AS2020

Neural MOS Prediction for Synthesized Speech Using Multi-Task Learning With Spoofing Detection and Spoofing Type Classification

Yeunju Choi, Youngmoon Jung, Hoirin Kim

Several studies have proposed deep-learning-based models to predict the mean opinion score (MOS) of synthesized speech, showing the possibility of replacing human raters. However,…

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…

eess.AS2020

Improving Multi-Scale Aggregation Using Feature Pyramid Module for Robust Speaker Verification of Variable-Duration Utterances

Youngmoon Jung, Seong Min Kye, Yeunju Choi +2

Currently, the most widely used approach for speaker verification is the deep speaker embedding learning. In this approach, we obtain a speaker embedding vector by pooling single-s…