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ORCIDBabak Nasersharif
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- affiliation: Toosi University of Technology, Tehran, Iran
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2020 – today
- 2024
[j26]Babak Nasersharif, Mohammad Namvarpour:
Exploring the potential of Wav2vec 2.0 for speech emotion recognition using classifier combination and attention-based feature fusion. J. Supercomput. 80(16): 23667-23688 (2024)- 2023
- [j25]Navid Naderi
, Babak Nasersharif:
Cross Corpus Speech Emotion Recognition using transfer learning and attention-based fusion of Wav2Vec2 and prosody features. Knowl. Based Syst. 277: 110814 (2023) - [j24]Babak Nasersharif, Manije Ebrahimpour, Navid Naderi:
Multi-layer maximum mean discrepancy in auto-encoders for cross-corpus speech emotion recognition. J. Supercomput. 79(12): 13031-13049 (2023) - 2022
- [j23]Mahboobeh Riahi-Madvar, Ahmad Akbari Azirani, Babak Nasersharif, Bijan Raahemi:
Subspace-based outlier detection using linear programming and heuristic techniques. Expert Syst. Appl. 207: 117955 (2022) - [j22]Navid Naderi, Babak Nasersharif, Amirhossein Nikoofard:
Persian speech synthesis using enhanced tacotron based on multi-resolution convolution layers and a convex optimization method. Multim. Tools Appl. 81(3): 3629-3645 (2022) - [j21]Elyas Rashno, Ahmad Akbari, Babak Nasersharif:
Uncertainty handling in convolutional neural networks. Neural Comput. Appl. 34(19): 16753-16769 (2022) - 2021
- [j20]Babak Nasersharif, Morteza Yazdani:
Evolutionary fusion of classifiers trained on linear prediction based features for replay attack detection. Expert Syst. J. Knowl. Eng. 38(3) (2021) - [j19]Mahboobeh Riahi-Madvar, Ahmad Akbari Azirani, Babak Nasersharif, Bijan Raahemi:
A new density-based subspace selection method using mutual information for high dimensional outlier detection. Knowl. Based Syst. 216: 106733 (2021) - [j18]Soheil Mehralian, Mohammad Teshnehlab, Babak Nasersharif:
Unrestricted deep metric learning using neural networks interaction. Pattern Anal. Appl. 24(4): 1699-1711 (2021) - [c20]Mohammad Hosein Hamian, Ali Beikmohammadi, Ali Ahmadi, Babak Nasersharif:
Semantic Segmentation of Autonomous Driving Images by the Combination of Deep Learning and Classical Segmentation. CSICC 2021: 1-6 - [c19]Maryam Asadolahzade Kermanshahi, Ahmad Akbari, Babak Nasersharif:
Transfer Learning for End-to-End ASR to Deal with Low-Resource Problem in Persian Language. CSICC 2021: 1-5 - [c18]Mahboobeh Riahi-Madvar, Babak Nasersharif, Ahmad Akbari Azirani:
Subspace Outlier Detection in High Dimensional Data using Ensemble of PCA-based Subspaces. CSICC 2021: 1-5
2010 – 2019
- 2019
- [j17]Shima Tabibian, Ahmad Akbari, Babak Nasersharif:
Improved dynamic match phone lattice search for Persian spoken term detection system in online and offline applications. Int. J. Speech Technol. 22(1): 205-217 (2019) - [i1]Elyas Rashno, Ahmad Akbari, Babak Nasersharif:
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition. CoRR abs/1901.10629 (2019) - 2018
- [j16]Shima Tabibian, Ahmad Akbari, Babak Nasersharif:
Discriminative keyword spotting using triphones information and N-best search. Inf. Sci. 423: 157-171 (2018) - 2017
- [j15]S. Abdali, Babak Nasersharif:
Non-negative matrix factorization for speech/music separation using source dependent decomposition rank, temporal continuity term and filtering. Biomed. Signal Process. Control. 36: 168-175 (2017) - 2016
- [j14]Shima Tabibian, Ahmad Akbari, Babak Nasersharif:
A fast hierarchical search algorithm for discriminative keyword spotting. Inf. Sci. 336: 45-59 (2016) - [c17]Mojtaba Gholamipour, Babak Nasersharif:
Mapping Mel sub-band energies using Deep belief network for robust speech recognition. IST 2016: 510-514 - 2015
- [j13]Roohollah Abdipour, Ahmad Akbari, Mohsen Rahmani, Babak Nasersharif:
Binaural source separation based on spatial cues and maximum likelihood model adaptation. Digit. Signal Process. 36: 174-183 (2015) - [j12]Shima Tabibian, Ahmad Akbari, Babak Nasersharif:
Speech enhancement using a wavelet thresholding method based on symmetric Kullback-Leibler divergence. Signal Process. 106: 184-197 (2015) - 2014
- [j11]Mehdi Mohammadi, Ahmad Akbari, Bijan Raahemi, Babak Nasersharif, Hassan Asgharian:
A fast anomaly detection system using probabilistic artificial immune algorithm capable of learning new attacks. Evol. Intell. 6(3): 135-156 (2014) - [j10]Seyed Milad Bassir, Ahmad Akbari, Babak Nasersharif:
An improved feature transformation method using mutual information. Int. J. Speech Technol. 17(2): 107-115 (2014) - [j9]Behzad Zamani, Ahmad Akbari, Babak Nasersharif:
Evolutionary combination of kernels for nonlinear feature transformation. Inf. Sci. 274: 95-107 (2014) - [j8]Shima Tabibian, Ahmad Akbari, Babak Nasersharif:
Extension of a Kernel-Based Classifier for Discriminative Spoken Keyword Spotting. Neural Process. Lett. 39(2): 195-218 (2014) - 2013
- [j7]Shima Tabibian, Ahmad Akbari, Babak Nasersharif:
Keyword spotting using an evolutionary-based classifier and discriminative features. Eng. Appl. Artif. Intell. 26(7): 1660-1670 (2013) - [c16]Akram Shokri, Mohammad Hossein Davarpour, Ahmad Akbari, Babak Nasersharif:
Detecting keywords in Persian conversational telephony speech using a discriminative English keyword spotter. ISSPIT 2013: 272-276 - 2012
- [j6]Mehdi Mohammadi, Bijan Raahemi, Ahmad Akbari, Babak Nasersharif, Hossein Moeinzadeh:
Improving linear discriminant analysis with artificial immune system-based evolutionary algorithms. Inf. Sci. 189: 219-232 (2012) - [j5]Mehdi Mohammadi, Bijan Raahemi, Ahmad Akbari, Babak Nasersharif:
New class-dependent feature transformation for intrusion detection systems. Secur. Commun. Networks 5(12): 1296-1311 (2012) - [c15]Mehdi Mohammadi, Ahmad Akbari, Bijan Raahemi, Babak Nasersharif:
A Real Time Anomaly Detection System Based on Probabilistic Artificial Immune Based Algorithm. ICARIS 2012: 205-217 - 2011
- [j4]Mehdi Mohammadi, Bijan Raahemi, Ahmad Akbari, Hossein Moeinzadeh, Babak Nasersharif:
Genetic-based minimum classification error mapping for accurate identifying Peer-to-Peer applications in the internet traffic. Expert Syst. Appl. 38(6): 6417-6423 (2011) - [j3]Behzad Zamani, Ahmad Akbari, Babak Nasersharif, Azarakhsh Jalalvand:
Optimized discriminative transformations for speech features based on minimum classification error. Pattern Recognit. Lett. 32(7): 948-955 (2011) - [c14]Shima Tabibian, Akram Shokri, Ahmad Akbari, Babak Nasersharif:
Performance evaluation for an HMM-based keyword spotter and a large-margin based one in noisy environments. WCIT 2011: 1018-1022 - 2010
- [j2]Behzad Zamani, Ahmad Akbari, Babak Nasersharif, Mehdi Mohammadi, Azarakhsh Jalalvand:
Discriminative transformation for speech features based on genetic algorithm and HMM likelihoods. IEICE Electron. Express 7(4): 247-253 (2010) - [c13]Reza Sahraeian, Behzad Zamani, Ahmad Akbari, Ahmad Ayatollahi, Babak Nasersharif:
New Approach in Transform-Based Speaker Adaptation Using Minimum Classification Error. UKSim 2010: 295-298
2000 – 2009
- 2009
- [c12]Hossein Moeinzadeh, Mehdi Mohammadi, Ahmad Akbari, Babak Nasersharif:
Evolutionary-class independent LDA as a pre-process for improving classification. GECCO 2009: 1909-1910 - [c11]Hossein Moeinzadeh, Babak Nasersharif, Abdolazim Rezaee, Hossein Pazhoumand-dar:
Improving classification accuracy using evolutionary fuzzy transformation. GECCO (Companion) 2009: 2103-2108 - [c10]Hossein Moeinzadeh, Mehdi Mohammadi, Ahmad Akbari, Babak Nasersharif:
Robust speech recognition using evolutionary class-dependent LDA. GECCO (Companion) 2009: 2109-2114 - 2008
- [c9]Houman Abbasian, Babak Nasersharif, Ahmad Akbari:
Class Dependent LDA Optimization Using Genetic Algorithm for Robust MFCC Extraction. CSICC 2008: 807-810 - [c8]Mehdi Mohammadi, Behzad Zamani, Babak Nasersharif, Mohsen Rahmani, Ahmad Akbari:
A wavelet based speech enhancement method using noise classification and shaping. INTERSPEECH 2008: 561-564 - [c7]Houman Abbasian, Babak Nasersharif, Ahmad Akbari:
Genetic programming based optimization of class-dependent PCA for extracting robust MFCC. INTERSPEECH 2008: 1541-1544 - 2007
- [j1]Babak Nasersharif, Ahmad Akbari:
SNR-dependent compression of enhanced Mel sub-band energies for compensation of noise effects on MFCC features. Pattern Recognit. Lett. 28(11): 1320-1326 (2007) - [c6]Babak Nasersharif, Ahmad Akbari, Mohammad Mehdi Homayounpour:
Mel sub-band filtering and compression for robust speech recognition. INTERSPEECH 2007: 1102-1105 - 2006
- [c5]Babak Nasersharif, Ahmad Akbari, Mohammad Mehdi Homayounpour:
Spectral peaks enhancement for extracting robust speech features. EUSIPCO 2006: 1-5 - [c4]Babak Nasersharif, Ahmad Akbari:
A framework for robust MFCC feature extraction using SNR-dependent compression of enhanced mel filter bank energies. INTERSPEECH 2006 - 2005
- [c3]Babak Nasersharif, Ahmad Akbari:
Improved HMM entropy for robust sub-band speech recognition. EUSIPCO 2005: 1-4 - [c2]Babak Nasersharif, Ahmad Akbari:
Sub-band weighted projection measure for robust sub-band speech recognition. INTERSPEECH 2005: 945-948 - 2004
- [c1]Babak Nasersharif, Ahmad Akbari:
Application of wavelet transform and wavelet thresholding in robust sub-band speech recognition. EUSIPCO 2004: 345-348
Coauthor Index
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