Browse by UCL people
Group by: Type | Date
Number of items: 7.
Article
Abdullah, Salinna;
Zamani, Majid;
Demosthenous, Andreas;
(2022)
A Compact CNN-Based Speech Enhancement With Adaptive Filter Design Using Gabor Function And Region-Aware Convolution.
IEEE Access
, 10
pp. 130657-130671.
10.1109/access.2022.3228744.
|
Abdullah, S;
Zamani, M;
Demosthenous, A;
(2021)
Towards More Efficient DNN-Based Speech Enhancement Using Quantized Correlation Mask.
IEEE Access
10.1109/access.2021.3056711.
|
Proceedings paper
Abdullah, S;
Zamani, M;
Demosthenous, A;
(2021)
A discrete wavelet transform-based voice activity detection and noise classification with sub-band selection.
In:
2021 IEEE International Symposium on Circuits and Systems (ISCAS).
IEEE: Daegu, Korea.
|
Binti Abdullah, S;
Demosthenous, A;
Yasin, I;
(2020)
Comparison of Auditory-Inspired Models Using Machine-Learning for Noise Classification.
In:
International Journal of Simulation Systems, Science & Technology Special Issue: Conference Procedings UKSim2020, 25 to 27 March 2020.
(pp. 20.1-20.9).
United Kingdom Simulation Society: Cambridge, UK.
|
Binti Abdullah, S;
Zamani, M;
Demosthenous, A;
(2020)
Acoustic Noise Classification Using Selective Discrete Wavelet Transform-Based Mel-Frequency Cepstral Coefficient.
In:
International Journal of Simulation Systems, Science & Technology Special Issue: Conference Procedings UKSim2020, 25 to 27 March 2020.
(pp. 6.1-6.6).
United Kingdom Simulation Society: Cambridge, UK.
|
Zamani, M;
Salinna, A;
Andreas, DD;
(2020)
Dictionary Construction for Accurate and Low-Cost Subspace Learning in Unsupervised Spike Sorting.
In:
Proceedings of the UKSim-AMSS 22nd International Conference on Computer Modelling and Simulation, UKSim2020.
EDAS
|
Thesis
Abdullah, Salinna;
(2023)
Efficient Deep-Learning Speech Enhancement Algorithms for Hearing Devices.
Doctoral thesis (Ph.D), UCL (University College London).
|