| Clustering-based speech emotion recognition by incorporating learned features and deep BiLSTM M Sajjad, S Kwon IEEE access 8, 79861-79875, 2020 | 388 | 2020 |
| A CNN-assisted enhanced audio signal processing for speech emotion recognition n Mustaqeem, S Kwon Sensors 20 (1), 183, 2019 | 351 | 2019 |
| Classification of heart sound signal using multiple features Yaseen, GY Son, S Kwon Applied Sciences 8 (12), 2344, 2018 | 346 | 2018 |
| Deep features-based speech emotion recognition for smart affective services AM Badshah, N Rahim, N Ullah, J Ahmad, K Muhammad, MY Lee, ... Multimedia Tools and Applications 78, 5571-5589, 2019 | 199 | 2019 |
| MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach S Kwon Expert Systems with Applications 167, 114177, 2021 | 188 | 2021 |
| Deep-net: A lightweight CNN-based speech emotion recognition system using deep frequency features T Anvarjon, Mustaqeem, S Kwon Sensors 20 (18), 5212, 2020 | 173 | 2020 |
| Att-Net: Enhanced emotion recognition system using lightweight self-attention module S Kwon Applied Soft Computing 102, 107101, 2021 | 137 | 2021 |
| Smart room: Participant and speaker localization and identification C Busso, S Hernanz, CW Chu, S Kwon, S Lee, PG Georgiou, I Cohen, ... Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 107 | 2005 |
| CLSTM: Deep feature-based speech emotion recognition using the hierarchical ConvLSTM network Mustaqeem, S Kwon Mathematics 8 (12), 2133, 2020 | 102 | 2020 |
| Age and gender recognition using a convolutional neural network with a specially designed multi-attention module through speech spectrograms A Tursunov, Mustaqeem, JY Choeh, S Kwon Sensors 21 (17), 5892, 2021 | 92 | 2021 |
| Optimal feature selection based speech emotion recognition using two‐stream deep convolutional neural network Mustaqeem, S Kwon International Journal of Intelligent Systems 36 (9), 5116-5135, 2021 | 90 | 2021 |
| Unsupervised speaker indexing using generic models S Kwon, S Narayanan IEEE transactions on speech and audio processing 13 (5), 1004-1013, 2005 | 85 | 2005 |
| Short-term energy forecasting framework using an ensemble deep learning approach M Ishaq, S Kwon IEEE Access 9, 94262-94271, 2021 | 73 | 2021 |
| Speaker change detection using a new weighted distance measure. S Kwon, SS Narayanan INTERSPEECH, 2537-2540, 2002 | 58 | 2002 |
| Robust speaker identification based on selective use of feature vectors S Kwon, S Narayanan Pattern Recognition Letters 28 (1), 85-89, 2007 | 56 | 2007 |
| 1D-CNN: Speech Emotion Recognition System Using a Stacked Network with Dilated CNN Features. S Kwon Computers, Materials & Continua 67 (3), 2021 | 55 | 2021 |
| A CNN-Assisted deep echo state network using multiple Time-Scale dynamic learning reservoirs for generating Short-Term solar energy forecasting M Ishaq, S Kwon Sustainable energy technologies and assessments 52, 102275, 2022 | 51 | 2022 |
| Discriminating emotions in the valence dimension from speech using timbre features A Tursunov, S Kwon, HS Pang Applied Sciences 9 (12), 2470, 2019 | 46 | 2019 |
| MSER: Multimodal speech emotion recognition using cross-attention with deep fusion M Khan, W Gueaieb, A El Saddik, S Kwon Expert Systems with Applications 245, 122946, 2024 | 42 | 2024 |
| Gender identification using mfcc for telephone applications-a comparative study J Ahmad, M Fiaz, S Kwon, M Sodanil, B Vo, SW Baik arXiv preprint arXiv:1601.01577, 2016 | 42 | 2016 |
