Seong-Gyun Leem

According to our database, Seong-Gyun Leem authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Selective Acoustic Feature Enhancement for Speech Emotion Recognition With Noisy Speech.

Seong-Gyun Leem, Daniel Fulford, Jukka-Pekka Onnela, David Gard, Carlos Busso

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment.

Seong-Gyun Leem, Daniel Fulford, Jukka-Pekka Onnela, David Gard, Carlos Busso

CoRR, 2024

2023

Quantifying Emotional Similarity in Speech.

John B. Harvill, Seong-Gyun Leem, Mohammed Abdel-Wahab, Reza Lotfian, Carlos Busso

IEEE Trans. Affect. Comput., 2023

Versatile Audio-Visual Learning for Handling Single and Multi Modalities in Emotion Regression and Classification Tasks.

Lucas Goncalves, Seong-Gyun Leem, Wei-Cheng Lin, Berrak Sisman, Carlos Busso

CoRR, 2023

Computation and Memory Efficient Noise Adaptation of Wav2Vec2.0 for Noisy Speech Emotion Recognition with Skip Connection Adapters.

Seong-Gyun Leem, Daniel Fulford, Jukka-Pekka Onnela, David Gard, Carlos Busso

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

The Importance of Calibration: Rethinking Confidence and Performance of Speech Multi-label Emotion Classifiers.

Huang-Cheng Chou, Lucas Goncalves, Seong-Gyun Leem, Chi-Chun Lee, Carlos Busso

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

Adapting a Self-Supervised Speech Representation for Noisy Speech Emotion Recognition by Using Contrastive Teacher-Student Learning.

Seong-Gyun Leem, Daniel Fulford, Jukka-Pekka Onnela, David Gard, Carlos Busso

Proceedings of the IEEE International Conference on Acoustics, 2023

Combining Relative and Absolute Learning Formulations to Predict Emotional Attributes From Speech.

Abinay Reddy Naini, Shruthi Subramanium, Seong-Gyun Leem, Carlos Busso

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Analyzing the Effect of Affective Priming on Emotional Annotations.

Luz Martinez-Lucas, Ali N. Salman, Seong-Gyun Leem, Shreya G. Upadhyay, Chi-Chun Lee, Carlos Busso

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

2022

Not All Features are Equal: Selection of Robust Features for Speech Emotion Recognition in Noisy Environments.

Seong-Gyun Leem, Daniel Fulford, Jukka-Pekka Onnela, David Gard, Carlos Busso

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Separation of Emotional and Reconstruction Embeddings on Ladder Network to Improve Speech Emotion Recognition Robustness in Noisy Conditions.

Seong-Gyun Leem, Daniel Fulford, Jukka-Pekka Onnela, David Gard, Carlos Busso

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

2020

Speaker Anonymization for Personal Information Protection Using Voice Conversion Techniques.

In-Chul Yoo, Keonnyeong Lee, Seong-Gyun Leem, Hyunwoo Oh, BongGu Ko, Dongsuk Yook

IEEE Access, 2020

Many-to-Many Voice Conversion Using Cycle-Consistent Variational Autoencoder with Multiple Decoders.

Dongsuk Yook, Seong-Gyun Leem, Keonnyeong Lee, In-Chul Yoo

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

2019

Multitask Learning of Deep Neural Network-Based Keyword Spotting for IoT Devices.

Seong-Gyun Leem, In-Chul Yoo, Dongsuk Yook

IEEE Trans. Consumer Electron., 2019