44 citations · 149 across the 8 of their papers we have counts for
8 papers
Learning to Maximize Speech Quality Directly Using MOS Prediction for Neural Text-to-Speech
Yeunju Choi, Youngmoon Jung, Youngjoo Suh +1
Although recent neural text-to-speech (TTS) systems have achieved high-quality speech synthesis, there are cases where a TTS system generates low-quality speech, mainly caused by l…
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…
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…
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,…
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…
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…
Self-Adaptive Soft Voice Activity Detection using Deep Neural Networks for Robust Speaker Verification
Youngmoon Jung, Yeunju Choi, Hoirin Kim
Voice activity detection (VAD), which classifies frames as speech or non-speech, is an important module in many speech applications including speaker verification. In this paper, w…
Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification
Youngmoon Jung, Younggwan Kim, Hyungjun Lim +2
In this paper, we propose a new pooling method called spatial pyramid encoding (SPE) to generate speaker embeddings for text-independent speaker verification. We first partition th…