DNN-based Emotion Recognition Based on Bottleneck Acoustic Features and Lexical Features. - Eesung Kim; Jong Won Shin (ICASSP, 2019)

Affective Latent Representation of Acoustic and Lexical Features for Emotion Recognition. - Eesung Kim; Hyungchan Song; Jong Won Shin (Sensors, 2020)

Accelerating RNN Transducer Inference via Adaptive Expansion Search. - Juntae Kim; Yoonhan Lee; Eesung Kim (IEEE Signal Process. Lett., 2020)

Multitask Learning and Joint Optimization for Transformer-RNN-Transducer Speech Recognition. - Jae-Jin Jeon; Eesung Kim (ICASSP, 2021)

U-Convolution Based Residual Echo Suppression with Multiple Encoders. - Eesung Kim; Jae-Jin Jeon; Hyeji Seo (ICASSP, 2021)

SE-Conformer: Time-Domain Speech Enhancement Using Conformer. - Eesung Kim; Hyeji Seo (Interspeech, 2021)

Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learning. - Eesung Kim; Jae-Jin Jeon; Hyeji Seo; Hoon Kim (INTERSPEECH, 2022)

JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech. - Dan Lim; Sunghee Jung; Eesung Kim (INTERSPEECH, 2022)

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 (INTERSPEECH, 2023)

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 (ICASSP, 2024)

Enhanced Hybrid Transducer and Attention Encoder Decoder with Text Data. - Yun Tang; Eesung Kim; Vijendra Raj Apsingekar (CoRR, 2025)