000			01358nam a22001577a 4500
003			NUST
040			_a0
082			_a621.382,MEH
100			_aMehmood, Hamza _9118102
245			_aDeep Learning Based Speech Enhancement / _cCapt Hamza Mehmood, Capt Muhammad Usman Hamid, Capt Muhammad Taimoor Waqas and Maj Intezar Ali. (BETE-56)
264			_aMCS, NUST _bRawalpindi _c2023
300			_axii, 29
505			_aThis project focuses on exploring the effectiveness of deep learning systems in improving speech quality. The approach employs a fully attention-based mechanism that utilizes deep learning to enhance speech signals by processing noisy speech signals and producing perceptually enhanced clean speech signals. The model is trained on a large dataset of both noisy and clean speech signals and evaluated using both objective and subjective metrics on different benchmark datasets. Results show that the proposed method outperforms traditional speech enhancement techniques in terms of speech quality and intelligibility. The study also investigates the impact of various architectural and training parameters on the model's performance, demonstrating the potential of deep learning-based speech enhancement using Transformers-based forward feed models as a promising research area.
700			_aSupervisor Dr. Abdul Wakeel
942			_2ddc _cTHE
999			_c603138 _d603138