Farshad Almasganj
Farshad Almasganj
Associate professor of Biomedical ngineering, Amirkabir University of technology
Verified email at aut.ac.ir
Title
Cited by
Cited by
Year
Optimal selection of wavelet-packet-based features using genetic algorithm in pathological assessment of patients’ speech signal with unilateral vocal fold paralysis
R Behroozmand, F Almasganj
Computers in Biology and Medicine 37 (4), 474-485, 2007
922007
Pathological assessment of patients’ speech signals using nonlinear dynamical analysis
G Vaziri, F Almasganj, R Behroozmand
Computers in biology and medicine 40 (1), 54-63, 2010
892010
Support vector wavelet adaptation for pathological voice assessment
NE Saeedi, F Almasganj, F Torabinejad
Computers in biology and medicine 41 (9), 822-828, 2011
342011
A gaussian mixture model based cost function for parameter estimation of chaotic biological systems
Y Shekofteh, S Jafari, JC Sprott, SMRH Golpayegani, F Almasganj
Communications in Nonlinear Science and Numerical Simulation 20 (2), 469-481, 2015
272015
Lip-reading via a DNN-HMM hybrid system using combination of the image-based and model-based features
MH Rahmani, F Almasganj
2017 3rd International Conference on Pattern Recognition and Image Analysis …, 2017
262017
Voice disorder signal classification using m-band wavelets and support vector machine
P Saidi, F Almasganj
Circuits, Systems, and Signal Processing 34 (8), 2727-2738, 2015
232015
A two-stage speech activity detection system considering fractal aspects of prosody
S Shafiee, F Almasganj, B Vazirnezhad, A Jafari
Pattern Recognition Letters 31 (9), 936-948, 2010
232010
Local discriminant wavelet packet basis for voice pathology classification
PT Hosseini, F Almasganj, T Emami, R Behroozmand, S Gharibzade, ...
2008 2nd International Conference on Bioinformatics and Biomedical …, 2008
232008
Comparison of neural networks and support vector machines applied to optimized features extracted from patients' speech signal for classification of vocal fold inflammation
R Behroozmand, F Almasganj
Proceedings of the Fifth IEEE International Symposium on Signal Processing …, 2005
232005
Audio-visual feature fusion via deep neural networks for automatic speech recognition
MH Rahmani, F Almasganj, SA Seyyedsalehi
Digital Signal Processing 82, 54-63, 2018
222018
Wavelet adaptation for automatic voice disorders sorting
NE Saeedi, F Almasganj
Computers in biology and medicine 43 (6), 699-704, 2013
212013
Feature extraction based on speech attractors in the reconstructed phase space for automatic speech recognition systems
Y Shekofteh, F Almasganj
ETRI Journal 35 (1), 100-108, 2013
212013
Improvement of automatic speech recognition systems via nonlinear dynamical features evaluated from the recurrence plot of speech signals
SG Firooz, F Almasganj, Y Shekofteh
Computers & Electrical Engineering 58, 215-226, 2017
202017
On the fractal self-similarity of laryngeal pathologies detection: The estimation of hurst parameter
G Vaziri, F Almasganj, MS Jenabi
2008 International Conference on Information Technology and Applications in …, 2008
202008
Autoregressive modeling of speech trajectory transformed to the reconstructed phase space for ASR purposes
Y Shekofteh, F Almasganj
Digital Signal Processing 23 (6), 1923-1932, 2013
172013
Using Laplacian eigenmaps latent variable model and manifold learning to improve speech recognition accuracy
A Jafari, F Almasganj
Speech Communication 52 (9), 725-735, 2010
172010
Hybrid statistical pronunciation models designed to be trained by a medium-size corpus
B Vazirnezhad, F Almasganj, SM Ahadi
Computer Speech & Language 23 (1), 1-24, 2009
172009
Statistical modeling of speech Poincaré sections in combination of frequency analysis to improve speech recognition performance
A Jafari, F Almasganj, MN Bidhendi
Chaos: An Interdisciplinary Journal of Nonlinear Science 20 (3), 033106, 2010
152010
Pathological assesment of vocal fold nodules and polyp using accoustic perturbation and phase space features
R Behroozmand, F Almasganj, MH Moradi
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
132006
MLP-based isolated phoneme classification using likelihood features extracted from reconstructed phase space
Y Shekofteh, F Almasganj, A Daliri
Engineering Applications of Artificial Intelligence 44, 1-9, 2015
102015
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Articles 1–20