Modified deep residual network architecture deployed on serverless framework of IoT platform based on human activity recognition application A Keshavarzian, S Sharifian, S Seyedin Future Generation Computer Systems 101, 14-28, 2019 | 61 | 2019 |
A novel speech enhancement method by learnable sparse and low-rank decomposition and domain adaptation S Mavaddaty, SM Ahadi, S Seyedin Speech Communication 76, 42-60, 2016 | 38 | 2016 |
Modified coherence-based dictionary learning method for speech enhancement S Mavaddaty, SM Ahadi, S Seyedin IET Signal Processing 9 (7), 537-545, 2015 | 19 | 2015 |
Speech enhancement using sparse dictionary learning in wavelet packet transform domain S Mavaddaty, SM Ahadi, S Seyedin Computer Speech & Language 44, 22-47, 2017 | 18 | 2017 |
Spectro-temporal power spectrum features for noise robust ASR H Riazati Seresht, SM Ahadi, S Seyedin Circuits, Systems, and Signal Processing 36 (8), 3222-3242, 2017 | 16 | 2017 |
A query-by-example music retrieval system using feature and decision fusion N Borjian, E Kabir, S Seyedin, E Masehian Multimedia Tools and Applications 77, 6165-6189, 2018 | 13 | 2018 |
Robust MVDR-based feature extraction for speech recognition S Seyedin, SM Ahadi 2009 7th International Conference on Information, Communications and Signal …, 2009 | 13 | 2009 |
On the distribution of Mel-filtered log-spectrum of speech in additive noise S Seyedin, S Gazor, SM Ahadi Speech Communication 67, 8-25, 2015 | 12 | 2015 |
Feature extraction based on DCT and MVDR spectral estimation for robust speech recognition S Seyedin, M Ahadi 2008 9th International Conference on Signal Processing, 605-608, 2008 | 11 | 2008 |
An end-to-end deep learning model to recognize Farsi speech from raw input S Alisamir, SM Ahadi, S Seyedin 2018 4th Iranian Conference on Signal Processing and Intelligent Systems …, 2018 | 10 | 2018 |
Modular dynamic deep denoising autoencoder for speech enhancement R Safari, SM Ahadi, S Seyedin 2017 7th International Conference on Computer and Knowledge Engineering …, 2017 | 8 | 2017 |
New Features Using Robust MVDR Spectrum of Filtered Autocorrelation Sequence for Robust Speech Recognition S Seyedin, SM Ahadi, S Gazor The Scientific World Journal 2013, 2013 | 7 | 2013 |
Hand Motion Classification Using sEMG Signals Recorded from Dry and Wet Electrodes with Machine Learning M Fazeli, F Karimi, V Ramezanian, A Jahanshahi, S Seyedin 2020 28th Iranian Conference on Electrical Engineering (ICEE), 1-4, 2020 | 6 | 2020 |
A Novel Jointly Optimized Cooperative DAE-DNN Approach Based on a New Multi-Target Step-Wise Learning for Speech Enhancement M Pashaian, S Seyedin, SM Ahadi IEEE Access 11, 21669-21685, 2023 | 5 | 2023 |
A new subband-weighted MVDR-based front-end for robust speech recognition S Seyedin, SM Ahadi IEICE TRANSACTIONS on Information and Systems 93 (8), 2252-2261, 2010 | 5 | 2010 |
NMF-based Cepstral Features for Speech Emotion Recognition M Lashkari, S Seyedin 2018 4th Iranian Conference on Signal Processing and Intelligent Systems …, 2018 | 4 | 2018 |
Speech Enhancement Using Joint DNN-NMF Model Learned with Multi-Objective Frequency Differential Spectrum Loss Function M Pashaian, S Seyedin IET Signal Processing 2024, 2024 | 3 | 2024 |
Speech Enhancement Using NMF based on Hierarchical Deep Neural Networks with Joint Learning MM Mirjalili, S Seyedin 2020 28th Iranian Conference on Electrical Engineering (ICEE), 1-5, 2020 | 3 | 2020 |
Improving the loss function efficiency for speaker extraction using psychoacoustic effects H Damirchi, S Seyedin, SM Ahadi Applied Acoustics 183, 108301, 2021 | 2 | 2021 |
Single Channel Speech Source Separation Using Hierarchical Deep Neural Networks SM Noorani, S Seyedin 2020 28th Iranian Conference on Electrical Engineering (ICEE), 1-5, 2020 | 2 | 2020 |