Farshad Almasganj
Farshad Almasganj
Associate professor of Biomedical ngineering, Amirkabir University of technology
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Geciteerd door
Geciteerd door
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
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
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
Support vector wavelet adaptation for pathological voice assessment
NE Saeedi, F Almasganj, F Torabinejad
Computers in biology and medicine 41 (9), 822-828, 2011
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
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
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
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
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
Wavelet adaptation for automatic voice disorders sorting
NE Saeedi, F Almasganj
Computers in biology and medicine 43 (6), 699-704, 2013
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
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
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
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
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
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
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
Obstructive sleep apnea screening from unprocessed ECG signals using statistical modelling
M Faal, F Almasganj
Biomedical Signal Processing and Control 68, 102685, 2021
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
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
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