ساناز سیدین - دانشگاه صنعتی امیرکبیر

Mohamadreza Roozbahani, Sanaz Seyedin, Bahram Rashidi, "A new method to generate a biometric encryption key based on a segmented fingerprint image", , Vol. 10, Num. 2, Page 1-18, June 2023,

Matin Pashaian, Sanaz Seyedin, S.M. Ahadi Sarkani, "A novel jointly-optimized cooperative DAE-DNN approach based on a new multi-target step-wise learning for speech enhancement", IEEE Access-OPEN, Vol. 0, Num. 0, Page 0-0, March 2023,

Haleh Damirchi, Sanaz Seyedin, S.M. Ahadi Sarkani, "Improving the loss function efficiency for speaker extraction using psychoacoustic effects", APPLIED ACOUSTICS, Vol. 183, Num. 1, Page 1-7, December 2021,

Alireza Keshavarzian, Saeed Sharifian Khortoomi, Sanaz Seyedin, "Modified deep residual network architecture deployed on serverless framework of IoT platform based on human activity recognition application", FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, Vol. 101, Num. 0, Page 14-28, June 2019,

Nastaran Borjian, Ehsanollah Kabir, Sanaz Seyedin, Ellips Masehian, "A query-by-example music retrieval system using feature and decision fusion", MULTIMEDIA TOOLS AND APPLICATIONS, Vol. 77, Num. 5, Page 6165-6169, March 2018,

Mohammadali Azamian, Ehsanollah Kabir, Sanaz Seyedin, Ellips Masehian, "An Adaptive sparse algorithm for synthesizing note specific atoms by spectrum analysis, applied to music signal separation", ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, Vol. 17, Num. 2, Page 103-112, May 2017,

Samira Mavaddati, S.M. Ahadi Sarkani, Sanaz Seyedin, "Speech enhancement using sparse dictionary learning in wavelet packet transform domain", COMPUTER SPEECH AND LANGUAGE, Vol. 0, Num. 0, Page 0-0, February 2017,

Hamed Riazati Seresht, S.M. Ahadi Sarkani, Sanaz Seyedin, "Spectro-temporal Power Spectrum Features for Noise Robust ASR", CIRCUITS SYSTEMS AND SIGNAL PROCESSING, Vol. 35, Num. 0, Page 0-0, November 2016,

Nastaran Borjian, Ehsanollah Kabir, Sanaz Seyedin, Ellips Masehian, "Query-by-example music retrieval using genre recognition to speed up the performance", Journal of Acoustical Engineering Society of Iran, Vol. 4, Num. 1, Page 1-20, September 2016,

Samira Mavaddati, S.M. Ahadi Sarkani, Sanaz Seyedin, "A Novel speech enhancement method by learnable sparse and low-rank decomposition and domain adaptation", SPEECH COMMUNICATION, Vol. 76, Num. 1, Page 42-60, February 2016,

مقالات کنفرانس

داده های ثبت شده در پورتال

Seyedmajid Noorani, Sanaz Seyedin, "Single channel speech source separation using hierarchical deep neural networks ", 28th Iranian Conference on Electrical Engineering (ICEE), August 2020

Mohammad Saeid Deylami, Sanaz Seyedin, "Fusion of amplitude and complex domains based on deep neural networks for speech enhancement ", ‎28th Iranian Conference on Electrical Engineering (ICEE), August 2020

Mohammad Mahdi Mirjalili, Sanaz Seyedin, "Speech enhancement using NMF based on hierarchical deep neural networks with joint learning ", 28th Iranian Conference on Electrical Engineering (ICEE), August 2020

Iman Shahriari, Sanaz Seyedin, S.M. Ahadi Sarkani, "Robust voice activity detection based on complementary BLSTM enhancement stage ", 28th Iranian Conference on Electrical Engineering (ICEE), August 2020

Hamid Reza Asjodi Moghaddam, Sanaz Seyedin, "Modular NMF and DNN speech enhancement approach with update noise ", 28th Iranian Conference on Electrical Engineering (ICEE), August 2020

Maryam Fazeli, Faranak Karimi, Vida Ramezanian, Amir Jahanshahi, Sanaz Seyedin, "Hand Motion Classification Using sEMG Signals Recorded from Dry and Wet Electrodes with Machine Learning ", 28th Iranian Conference on Electrical Engineering (ICEE), August 2020

Haleh Damirchi, Sanaz Seyedin, S.M. Ahadi Sarkani, "Speaker extraction using BLSTM optimized with a new loss function based on differentiated spectrum in ‎frequency domain ", ‎28th Iranian Conference on Electrical Engineering (ICEE), August 2020

Seyyed Mohammadali Dastgheib, Sanaz Seyedin, "Vessel segmentation in coloured retinal fundus images based on multi-scale analysis ", 4th Iranian Conference of Signal Processing and Intelligent Systems, December 2018

Milad Lashkari, Sanaz Seyedin, "NMF-based cepstral features for speech emotion recognition ", 4th Iranian Conference of Signal Processing and Intelligent Systems, December 2018

Sina Alisamir, S.M. Ahadi Sarkani, Sanaz Seyedin, "An end-to-end deep learning model to recognize Farsi speech from raw input ", 4th Iranian Conference of Signal Processing and Intelligent Systems, December 2018

Abolfazl Danayi, Sanaz Seyedin, "A novel algorithm based on time-frequency analysis for extracting melody from human whistling ", 4th Iranian Conference of Signal Processing and Intelligent Systems, December 2018

Mohammad Jazlaeiyan, Sanaz Seyedin, S.Ahmad Motamedi, "Enhanced brain inspired model for face categorization using mutual information maximization ", 25th Iranian Conference on Biomedical Engineering and 2018 3rd International Iranian Conference on Biomedical Engineering, November 2018

Mojtaba Bahrami, Sanaz Seyedin, "MMSE log-spectral amplitude estimation for single channel speech enhancement under speech presence uncertainty by Weibull speech priors ", 26th Iranian Conference on Electrical Engineering, May 2018

Razieh Safari, S.M. Ahadi Sarkani, Sanaz Seyedin, "Modular Dynamic Deep Denoising Autoencoder for Speech Enhancement ", 7th International Conference on Computer and Knowledge Engineering 2017, October 2017

Amin Amiri Hanzaei, Sanaz Seyedin, S.M. Ahadi Sarkani, "Multi-layer kullback-leibler based Complex NMF with LPC error Clustering for Blind Source Separation ", 7th International Conference on Computer and Knowledge Engineering, October 2017

Mehdi Rezaei, Sanaz Seyedin, "Robust image watermarking in wavelet domain using SVR ", 2nd International Conference on Signal Processing and Intelligent Systems, December 2016

دروس ارائه شده

عنوان درس

توصیف درس

سرفصل ها

دوره درسی

Machine Learning

How to construct algorithms and computer programs that automatically improve with experience. The goal of this course is to present the key algorithms and theories of machine learning

Spring 2023

Logic Circuits

Presenting the basics of digital circuits, and learning the fundamental concepts used in their design

Spring 2023

Introduction to Machine Learning

How to construct basic algorithms that automatically improve with experience. The goal of this course is to present the basic and fundamental algorithms and theories of machine learning

Fall 2022

Digital Signal Processing

Providing the students with the basic principles and methods in discrete-time signals and systems as well as signal processing techniques

Fall 2022

Logic Circuits

Presenting the basics of digital circuits, and learning the fundamental concepts used in their design

Spring 2022

Machine Learning

How to construct algorithms and computer programs that automatically improve with experience. The goal of this course is to present the key algorithms and theories of machine learning

Spring 2022

Digital Signal Processing

Providing the students with the basic principles and methods in discrete-time signals and systems as well as signal processing techniques

Fall 2021

Introduction to Machine Learning

How to construct basic algorithms that automatically improve with experience. The goal of this course is to present the basic and fundamental algorithms and theories of machine learning

Fall 2021

Computer Architecture & Microprocessors

Familiarizing students with basics of computer architecture, and how the hardware components are connected together to form a computer system

Fall 2021