Sung Hwan Mun

Orcid: 0000-0003-2554-8294

According to our database1, Sung Hwan Mun authored at least 13 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
EEND-DEMUX: End-to-End Neural Speaker Diarization via Demultiplexed Speaker Embeddings.
CoRR, 2023

Towards Single Integrated Spoofing-aware Speaker Verification Embeddings.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Improving Learning Objectives for Speaker Verification from the Perspective of Score Comparison.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Adversarial Speaker-Consistency Learning Using Untranscribed Speech Data for Zero-Shot Multi-Speaker Text-to-Speech.
CoRR, 2022

Disentangled Speaker Representation Learning via Mutual Information Minimization.
CoRR, 2022

Selective Kernel Attention for Robust Speaker Verification.
CoRR, 2022

Frequency and Multi-Scale Selective Kernel Attention for Speaker Verification.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Fully Unsupervised Training of Few-Shot Keyword Spotting.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

2021
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-Supervised Speaker Verification.
IEEE Access, 2021

2020
Unsupervised Representation Learning for Speaker Recognition via Contrastive Equilibrium Learning.
CoRR, 2020

Disentangled Speaker and Nuisance Attribute Embedding for Robust Speaker Verification.
IEEE Access, 2020

Information Preservation Pooling for Speaker Embedding.
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Robust Text-Dependent Speaker Verification via Character-Level Information Preservation for the SdSV Challenge 2020.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020


  Loading...