Eesung Kim

According to our database, Eesung Kim authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Joint End-to-End Spoken Language Understanding and Automatic Speech Recognition Training Based on Unified Speech-to-Text Pre-Training.

Eesung Kim, Yun Tang, Taeyeon Ki, Divya Neelagiri, Vijendra Raj Apsingekar

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Efficient Adaptation of Spoken Language Understanding based on End-to-End Automatic Speech Recognition.

Eesung Kim, Aditya Jajodia, Cindy Tseng, Divya Neelagiri, Taeyeon Ki, Vijendra Raj Apsingekar

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech.

Dan Lim, Sunghee Jung, Eesung Kim

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learning.

Eesung Kim, Jae-Jin Jeon, Hyeji Seo, Hoon Kim

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

SE-Conformer: Time-Domain Speech Enhancement Using Conformer.

Eesung Kim, Hyeji Seo

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

U-Convolution Based Residual Echo Suppression with Multiple Encoders.

Eesung Kim, Jae-Jin Jeon, Hyeji Seo

Proceedings of the IEEE International Conference on Acoustics, 2021

Multitask Learning and Joint Optimization for Transformer-RNN-Transducer Speech Recognition.

Jae-Jin Jeon, Eesung Kim

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Accelerating RNN Transducer Inference via Adaptive Expansion Search.

Juntae Kim, Yoonhan Lee, Eesung Kim

IEEE Signal Process. Lett., 2020

Affective Latent Representation of Acoustic and Lexical Features for Emotion Recognition.

Eesung Kim, Hyungchan Song, Jong Won Shin

Sensors, 2020

2019

DNN-based Emotion Recognition Based on Bottleneck Acoustic Features and Lexical Features.

Eesung Kim, Jong Won Shin

Proceedings of the IEEE International Conference on Acoustics, 2019