Follow
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
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
1102010
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
992007
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
462017
Support vector wavelet adaptation for pathological voice assessment
NE Saeedi, F Almasganj, F Torabinejad
Computers in biology and medicine 41 (9), 822-828, 2011
442011
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
352018
Voice disorder signal classification using m-band wavelets and support vector machine
P Saidi, F Almasganj
Circuits, Systems, and Signal Processing 34, 2727-2738, 2015
282015
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
282015
Wavelet adaptation for automatic voice disorders sorting
NE Saeedi, F Almasganj
Computers in biology and medicine 43 (6), 699-704, 2013
282013
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
272005
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
262017
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
262013
Acoustic features of vocalization signal in poultry health monitoring
A Mahdavian, S Minaei, PM Marchetto, F Almasganj, S Rahimi, C Yang
Applied Acoustics 175, 107756, 2021
252021
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
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
222013
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
222010
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
222008
Ability evaluation of a voice activity detection algorithm in bioacoustics: A case study on poultry calls
A Mahdavian, S Minaei, C Yang, F Almasganj, S Rahimi, PM Marchetto
Computers and electronics in agriculture 168, 105100, 2020
212020
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
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), 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
The system can't perform the operation now. Try again later.
Articles 1–20