SNR-dependent compression of enhanced Mel sub-band energies for compensation of noise effects on MFCC features B Nasersharif, A Akbari Pattern recognition letters 28 (11), 1320-1326, 2007 | 47 | 2007 |
Speech enhancement using a wavelet thresholding method based on symmetric Kullback–Leibler divergence S Tabibian, A Akbari, B Nasersharif Signal Processing 106, 184-197, 2015 | 43 | 2015 |
A new density-based subspace selection method using mutual information for high dimensional outlier detection M Riahi-Madvar, AA Azirani, B Nasersharif, B Raahemi Knowledge-Based Systems 216, 106733, 2021 | 36 | 2021 |
A convolutional neural network model based on neutrosophy for noisy speech recognition E Rashno, A Akbari, B Nasersharif 2019 4th International Conference on Pattern Recognition and Image Analysis …, 2019 | 30 | 2019 |
A new wavelet thresholding method for speech enhancement based on symmetric Kullback-Leibler divergence S Tabibian, A Akbari, B Nasersharif 2009 14th International CSI Computer Conference, 495-500, 2009 | 24 | 2009 |
Optimized linear discriminant analysis for extracting robust speech features H Abbasian, B Nasersharif, A Akbari, M Rahmani, MS Moin 2008 3rd International symposium on communications, control and signal …, 2008 | 24 | 2008 |
Improved dynamic match phone lattice search using Viterbi scores and Jaro Winkler distance for keyword spotting system M Rajabzadeh, S Tabibian, A Akbari, B Nasersharif The 16th CSI International Symposium on Artificial Intelligence and Signal …, 2012 | 21 | 2012 |
Semantic segmentation of autonomous driving images by the combination of deep learning and classical segmentation MH Hamian, A Beikmohammadi, A Ahmadi, B Nasersharif 2021 26th International Computer Conference, Computer Society of Iran (CSICC …, 2021 | 20 | 2021 |
Evolutionary combination of kernels for nonlinear feature transformation B Zamani, A Akbari, B Nasersharif Information Sciences 274, 95-107, 2014 | 18 | 2014 |
Genetic-based minimum classification error mapping for accurate identifying Peer-to-Peer applications in the internet traffic M Mohammadi, B Raahemi, A Akbari, H Moeinzadeh, B Nasersharif Expert Systems with applications 38 (6), 6417-6423, 2011 | 18 | 2011 |
Application of wavelet transform and wavelet thresholding in robust sub-band speech recognition B Nasersharif, A Akbari 2004 12th European Signal Processing Conference, 345-348, 2004 | 17 | 2004 |
An evolutionary based discriminative system for keyword spotting S Tabibian, A Akbari, B Nasersharif 2011 International Symposium on Artificial Intelligence and Signal …, 2011 | 16 | 2011 |
Optimized discriminative transformations for speech features based on minimum classification error B Zamani, A Akbari, B Nasersharif, A Jalalvand Pattern Recognition Letters 32 (7), 948-955, 2011 | 16 | 2011 |
Subspace outlier detection in high dimensional data using ensemble of PCA-based subspaces M Riahi-Madvar, B Nasersharif, AA Azirani 2021 26th International Computer Conference, Computer Society of Iran (CSICC …, 2021 | 14 | 2021 |
Non-negative matrix factorization for speech/music separation using source dependent decomposition rank, temporal continuity term and filtering S Abdali, B NaserSharif Biomedical Signal Processing and Control 36, 168-175, 2017 | 14 | 2017 |
A robust keyword spotting system for Persian conversational telephone speech using feature and score normalization and ARMA filter A Shokri, S Tabibian, A Akbari, B Nasersharif, J Kabudian 2011 IEEE GCC Conference and Exhibition (GCC), 497-500, 2011 | 14 | 2011 |
A framework for robust MFCC feature extraction using SNR-dependent compression of enhanced mel filter bank energies. B Nasersharif, A Akbari INTERSPEECH, 2006 | 14 | 2006 |
Cross corpus speech emotion recognition using transfer learning and attention-based fusion of wav2vec2 and prosody features N Naderi, B Nasersharif Knowledge-Based Systems 277, 110814, 2023 | 13 | 2023 |
Multiresolution convolutional neural network for robust speech recognition N Naderi, B Nasersharif 2017 Iranian Conference on Electrical Engineering (ICEE), 1459-1464, 2017 | 13 | 2017 |
Binaural source separation based on spatial cues and maximum likelihood model adaptation R Abdipour, A Akbari, M Rahmani, B Nasersharif Digital Signal Processing 36, 174-183, 2015 | 12 | 2015 |