| Sparse time-frequency representation for seismic noise reduction using low-rank and sparse decomposition MA Nazari Siahsar, S Gholtashi, AR Kahoo, H Marvi, A Ahmadifard Geophysics 81 (2), V117-V124, 2016 | 68 | 2016 |
| Text-independent speaker identification based on selection of the most similar feature vectors M Soleymanpour, H Marvi International Journal of Speech Technology 20, 99-108, 2017 | 55 | 2017 |
| Age estimation based on speech features and support vector machine D Mahmoodi, H Marvi, M Taghizadeh, A Soleimani, F Razzazi, ... 2011 3rd Computer Science and Electronic Engineering Conference (CEEC), 60-64, 2011 | 42 | 2011 |
| Efficient speech emotion recognition using modified feature extraction S Langari, H Marvi, M Zahedi Informatics in Medicine Unlocked 20, 100424, 2020 | 36 | 2020 |
| Speech emotion recognition using data augmentation method by cycle-generative adversarial networks A Shilandari, H Marvi, H Khosravi, W Wang Signal, image and video processing 16 (7), 1955-1962, 2022 | 22 | 2022 |
| Deep and sparse features for anomaly detection and localization in video B Sabzalian, H Marvi, A Ahmadyfard 2019 4th International Conference on Pattern Recognition and Image Analysis …, 2019 | 20 | 2019 |
| Optimal MFCC features extraction by differential evolution algorithm for speaker recognition M Sadeghi, H Marvi 2017 3rd Iranian Conference on Intelligent Systems and Signal Processing …, 2017 | 18 | 2017 |
| Classification of remote sensing images from urban areas using Laplacian image and Bayesian theory B Yousefi, SM Mirhassani, H Marvi Optomechatronic Computer-Vision Systems II 6718, 97-105, 2007 | 15 | 2007 |
| Two-dimensional root cepstrum as feature extraction method for speech recognition E Chilton, H Marvi Electronics Letters 39 (10), 1, 2003 | 14 | 2003 |
| Infant cry classification by MFCC feature extraction with MLP and CNN structures A Abbaskhah, H Sedighi, H Marvi Biomedical Signal Processing and Control 86, 105261, 2023 | 10 | 2023 |
| Recognition of emotion in speech using variogram based features Z Esmaileyan, H Marvi Malaysian Journal of Computer Science 27 (3), 156-170, 2014 | 10 | 2014 |
| Estimation of LPC coefficients using evolutionary algorithms H Marvi, Z Esmaileyan, A Harimi Journal of AI and Data mining 1 (2), 111-118, 2013 | 10 | 2013 |
| Speech Recognition Through Discriminative Feature Extraction H Marvi WSEAS Transactions on Signal Processing 10 (2), 2006 | 8 | 2006 |
| Improving the performance of MFCC for Persian robust speech recognition D Darabian, H Marvi, M Sharif Noughabi Journal of AI and Data Mining 3 (2), 149-156, 2015 | 7 | 2015 |
| Synchrosqueezing-based transform and its application in seismic data analysis S Gholtashi, MA Nazari Siahsar, A RoshandelKahoo, H Marvi, ... Iranian Journal of Oil and Gas Science and Technology 4 (4), 1-14, 2015 | 7 | 2015 |
| Vowels recognition using mellin transform and PLP-based feature extraction M Jamaati, H Marvi, M Lankarany Journal of the Acoustical Society of America 123 (5), 3177, 2008 | 7 | 2008 |
| Noise reduction in digital iir filters by finding optimum arrangement of second-order sections M Lankarany, H Marvi 2008 Canadian Conference on Electrical and Computer Engineering, 000689-000692, 2008 | 5 | 2008 |
| Application of LDA to improve the accuracy of two-dimensional root cepstrum H Marvi, E Chilton SCI 10, 328-333, 2003 | 5 | 2003 |
| The effect of different acoustic noise on speech signal formant frequency location M Sadeghi, H Marvi, M Ali International Journal of Speech Technology 21, 741-752, 2018 | 4 | 2018 |
| Sparse time-frequency representation for seismic noise reduction using low-rank and sparse decomposition: Geophysics, 81 MAN Siahsar, S Gholtashi, AR Kahoo, H Marvi, A Ahmadifard V117–V124, 2016 | 4 | 2016 |
