Khadija Akter

Higher Degree by Research Candidate

School of Electrical and Mechanical Engineering

Faculty of Sciences, Engineering and Technology


Year Citation
2025 Islam, M., Akter, K., Hossain, M. A., & Dewan, M. A. A. (2025). PD-Net: Parkinson’s Disease Detection Through Fusion of Two Spectral Features Using Attention-Based Hybrid Deep Neural Network. Information Switzerland, 16(2), 18 pages.
DOI Scopus3 WoS1
2024 Namey, A. A., Akter, K., Hossain, M. A., & Dewan, M. A. A. (2024). CochleaSpecNet: An Attention-Based Dual Branch Hybrid CNN-GRU Network for Speech Emotion Recognition Using Cochleagram and Spectrogram. IEEE ACCESS, 12, 190760-190774.
DOI WoS2
2018 Mamun, N., Akter, K., Ali, H., & Hansen, J. H. L. (2018). Measuring speech perception with recovered envelope cues using the peripheral auditory model. The Journal of the Acoustical Society of America, 144(3_Supplement), 1872.
DOI

Year Citation
2024 Namey, A., & Akter, K. (2024). CochleaTion: Speech Emotion Recognition Through Cochleagram with CNN-GRU and Attention Mechanism. In 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) (pp. 01-06). IEEE.
DOI
2023 Sarker, S., Akter, K., & Mamun, N. (2023). A Text Independent Speech Emotion Recognition Based on Convolutional Neural Network. In 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-4). IEEE.
DOI
2023 Akter, K., Mamun, N., & Hossain, M. A. (2023). A T-F Masking based Monaural Speech Enhancement using U-Net Architecture. In 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-5). IEEE.
DOI
2021 Mamun, N., Majumder, S., & Akter, K. (2021). A Self-Supervised Convolutional Neural Network Approach for Speech Enhancement. In 2021 5th International Conference on Electrical Engineering and Information Communication Technology (ICEEICT) (pp. 1-5). IEEE.
DOI
2019 Khalil, M. I., Mamun, N., & Akter, K. (2019). A Robust Text Dependent Speaker Identification Using Neural Responses from the Model of the Auditory System. In 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-4). IEEE.
DOI
2019 Akter, K., & Manum, N. (2019). Predicting Speech Intelligibility with the Regeneration of Envelope from TFS Cues for Hearing Impaired Listeners. In 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-5). IEEE.
DOI
2018 Akter, K., & Mamun, N. (2018). Prediction of Speech Perception with Recovered Envelope Cues from TFS stimulus For Normal Hearing Listener. In 2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) (pp. 601-604). IEEE.
DOI

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