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    Newton's Method for Vector Optimization

    , M.Sc. Thesis Sharif University of Technology Jalalian, Saeideh (Author) ; Razvan, Mohammad Reza (Supervisor) ; Khorram, Esmaeil (Supervisor)

    Improving Speech Signal Models for Statistical Parametric Speech Synthesis

    , Ph.D. Dissertation Sharif University of Technology Khorram, Soheil (Author) ; Sameti, Hossein (Supervisor)
    Abstract
    Statistical parametric speech synthesis (SPSS) has dominated speech synthesis research area over the last decade, due to its remarkable advantages such as high intelligibility and flexibility. Decision tree-clustered context-dependent hidden semi-Markov models are typically used in SPSS to represent probability densities of acoustic features given contextual factors. This research addresses four major limitations of this decision tree-based structure: (a) The decision tree structure lacks adequate context generalization; (b) It is unable to express complex context dependencies; (c) Parameters generated from this structure represent sudden transitions between adjacent states; (e) This... 

    Model-Driven Methodology for Developing Serious Games in the Context of Business Processes

    , M.Sc. Thesis Sharif University of Technology Khorram, Faezeh (Author) ; Ramsin, Raman (Supervisor)
    Abstract
    Education has become a crucial issue worldwide, and it needs new techniques and technologies to create and raise interest and motivation towards learning. Serious games are gaining acclaim as viable solutions for enhancing educational processes; Serious games are interactive computer applications that use a challenging and amusing context to transfer a practical skill, knowledge or attitude to their users. Organizations and companies need an effective way for teaching their business processes to their employees. There are many business-related serious games. but few of them focus on business processes, most of which are business-specific and no precise approach is used in their development,... 

    Speech synthesis based on gaussian conditional random fields

    , Article Communications in Computer and Information Science ; Vol. 427, issue , 2014 , p. 183-193 Khorram, S ; Bahmaninezhad, F ; Sameti, H ; Sharif University of Technology
    2014
    Abstract
    Hidden Markov Model (HMM)-based synthesis (HTS) has recently been confirmed to be the most effective method in generating natural speech. However, it lacks adequate context generalization when the training data is limited. As a solution, current study provides a new context-dependent speech modeling framework based on the Gaussian Conditional Random Field (GCRF) theory. By applying this model, an innovative speech synthesis system has been developed which can be viewed as an extension of Context-Dependent Hidden Semi Markov Model (CD-HSMM). A novel Viterbi decoder along with a stochastic gradient ascent algorithm was applied to train model parameters. Also, a fast and efficient parameter... 

    HMM-based persian speech synthesis using limited adaptation data

    , Article International Conference on Signal Processing Proceedings, ICSP ; Volume 1 , 2012 , Pages 585-589 ; 9781467321945 (ISBN) Bahmaninezhad, F ; Sameti, H ; Khorram, S ; Sharif University of Technology
    2012
    Abstract
    Speech synthesis systems provided for the Persian language so far need various large-scale speech corpora to synthesize several target speakers' voice. Accordingly, synthesizing speech with a small amount of data seems to be essential in Persian. Taking advantage of a speaker adaptation in the speech synthesis systems makes it possible to generate speech with remarkable quality when the data of the speaker are limited. Here we conducted this method for the first time in Persian. This paper describes speaker adaptation based on Hidden Markov Models (HMMs) in Persian speech synthesis system for FARsi Speech DATabase (FARSDAT). In this regard, we prepared the whole FARSDAT, then for... 

    An optimum MMSE post-filter for Adaptive Noise Cancellation in automobile environment

    , Article 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 ; 2012 , Pages 431-435 ; 9781467303828 (ISBN) Khorram, S ; Sameti, H ; Veisi, H ; Sharif University of Technology
    2012
    Abstract
    Adaptive Noise Cancellation (ANC) is an effective dual-channel technique for background noise reduction. Due to the presence of uncorrelated noise components at the two inputs in vehicular environments, ANC does not provide sufficient background noise reduction. To alleviate this problem, a complementary linear filter is added to ANC structure. Filter coefficients are determined to make the enhanced signal an MMSE estimation of speech signal. Therefore, the ANC structure is modified to a dual-channel Wiener structure. We prove that this structure is identical to the LMS type ANC which is followed by a Wiener post-filter. A new method is proposed for the noise spectrum estimation in the... 

    Implementation and evaluation of statistical parametric speech synthesis methods for the Persian language

    , Article IEEE International Workshop on Machine Learning for Signal Processing, 18 September 2011 through 21 September 2011 ; September , 2011 , Page(s): 1 - 6 ; 9781457716232 (ISBN) Bahaadini, S ; Sameti, H ; Khorram, S ; Sharif University of Technology
    2011
    Abstract
    Scattered and little research in the field of Persian speech synthesis systems has been performed during the last ten years. Comprehensive framework that properly implements and adapts statistical speech synthesis methods for Persian has not been conducted yet. In this paper, recent statistical parametric speech synthesis methods including CLUSTERGEN, traditional HMM-based speech synthesis and its STRAIGHT version, are implemented and adapted for Persian language. CCR test is carried out to compare these methods with each other and with unit selection method. Listeners Score samples based on CMOS. The methods were ranked by averaging the CCR scores. The results show that STRAIGHT-based... 

    Soft context clustering for F0 modeling in HMM-based speech synthesis

    , Article Eurasip Journal on Advances in Signal Processing ; Volume 2015, Issue 1 , January , 2015 ; 16876172 (ISSN) Khorram, S ; Sameti, H ; King, S ; Sharif University of Technology
    Springer International Publishing  2015
    Abstract
    This paper proposes the use of a new binary decision tree, which we call a soft decision tree, to improve generalization performance compared to the conventional ‘hard’ decision tree method that is used to cluster context-dependent model parameters in statistical parametric speech synthesis. We apply the method to improve the modeling of fundamental frequency, which is an important factor in synthesizing natural-sounding high-quality speech. Conventionally, hard decision tree-clustered hidden Markov models (HMMs) are used, in which each model parameter is assigned to a single leaf node. However, this ‘divide-and-conquer’ approach leads to data sparsity, with the consequence that it suffers... 

    LP-based over-sampled subband adaptive noise canceller for speech enhancement in diffuse noise fields

    , Article 2008 9th International Conference on Signal Processing, ICSP 2008, Beijing, 26 October 2008 through 29 October 2008 ; 2008 , Pages 157-161 ; 9781424421794 (ISBN) Khorram, S ; Sameti, H ; Veisi, H ; Sharif University of Technology
    2008
    Abstract
    Adaptive Noise Cancellers (ANCs) do not provide sufficient noise reduction in the diffuse noise fields. In this paper, a new hybrid structure is proposed as a solution to this problem. The proposed system is a combination of two subsystems, an ANC and a new multistage post-filter. The post-filter is based on linear prediction (LP) and attempts to extract speech component by using intermediate ANC signals. The system is implemented on an over-sampled DFT filterbank with different analysis and synthesis prototype filters. The experimental results using various quality measures show that the proposed system is superior to both the subband ANC and subband LP based speech enhancement systems.1 ©... 

    SeGa4Biz: Model-Driven framework for developing serious games for business processes

    , Article 9th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2021, 8 February 2021 through 10 February 2021 ; 2021 , Pages 139-146 ; 9789897584879 (ISBN) Khorram, F ; Taromirad, M ; Ramsin, R ; Sharif University of Technology
    SciTePress  2021
    Abstract
    Organizations look for effective ways to teach their business processes to their employees. The application of serious games for teaching business processes is getting attraction recently. However, existing works are by large business-specific and few of them aim at teaching business processes in general, besides that the development of such games inherently suffers lack of precise and clear development approaches. This paper presents SeGa4Biz, a model-driven framework for serious game development for teaching business processes. Modeling supports different levels of abstraction and hence, increases user involvement throughout the development. SeGa4Biz particularly provides metamodels for... 

    Acceleration of the MWDM in Site Specific indoor Propagation Modeling Using Algorithm Optimization and Parallel Computation

    , M.Sc. Thesis Sharif University of Technology Khorram, Soroush (Author) ; Shishegar, Amir Ahmad (Supervisor)
    Abstract
    There is an ever rising interest for propagation simulation and communication channel modeling in indoor environments. Thus the demand for the development of proper software to perform these computations has been the motivation for a lot of researches on proper algorithms for these calculations. The most popular one is the ray tracing which is faster than other algorithms and needs only simple calculations. Still, the large number of these calculations needed to achieve proper accuracy does not allow ray tracing to achieve the desired speed in indoor environments. Numbers of methods have been proposed to increase its speed. One of which is the modified wavefront decomposition method which is... 

    Cross-Layer Design to Improve Wireless Protocol for Smart Home Application

    , M.Sc. Thesis Sharif University of Technology Abbasloo, Sohail (Author) ; Sanaei, Esmaeil (Supervisor)
    Abstract
    One of the main challenges in the design of wireless sensor networks (WSNs) is minimizing the energy consumption while simultaneously maximizing the performance of sensors. In this thesis, we have considered WSNs based on beacon enabled IEEE 802.15.4/Zigbee Standards with low rate applications like temperature, humidity and light sensing, which mainly have been used in a smart home environment, and proposed a cross-layer design to overcome this challenge. The design involves an optimizer module that captures the application layer and MAC sub layer behaviors. Based on these behaviors, the optimizer dynamically changes the rate of node’s traffic at the application layer and the priority of... 

    Using Wireless Sensor Network for Energy Management of Future Homes

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Sattar (Author) ; Sanaei, Esmaeil (Supervisor)
    Abstract
    We present a home energy management system that is able to manage home energy demand and resources to achieve minimum household payment in electricity dynamic pricing.Communication is used to collect needed data from the home energy system members and users in order toimprove demand and resources management. Some of the needed data comes from appliances and solar panels by wireless sensor network and some other is received from home users by a user interface.
    Two algorithms are proposed that the first algorithm goal is to minimizing household payment and the second algorithm goals are flexible implementiation and decreasing household payment. To decrease household payment, these... 

    Ontology-Based Android Malware Forensics

    , M.Sc. Thesis Sharif University of Technology Gholami, Esmaeil Gholami (Author) ; Amini, Morteza (Supervisor)
    Abstract
    Today, smart devices have become an integral part of everyday life. The Android operating system is also the most popular operating system of these devices, and as a result, various malwares are produced and distributed for this operating system every day. This makes it especially important to investigate these malwares. This includes finding people involved in the development and distribution of malware, as well as discovering other malwares created by them. Discovering other involved entities, such as social media accounts, websites, Android store accounts, and taking steps to prevent malware from being distributed by them is another aspect of this story. In order to deal with organized... 

    An automatic prosodic event detector using MSD HMMs for Persian language

    , Article Communications in Computer and Information Science ; Vol. 427, issue , 2014 , p. 234-240 Saleh, F. S ; Shams, B ; Sameti, H ; Khorram, S ; Sharif University of Technology
    2014
    Abstract
    Automatic detection of prosodic events in speech such as detecting the boundaries of Accentual Phrases (APs) and Intonational Phrases (IPs) has been an attractive subject in recent years for speech technologists and linguists. Prosodic events are important for spoken language applications such as speech recognition and translation. Also in order to generate natural speech in text to speech synthesizers, the corpus should be tagged with prosodic events. In this paper, we introduce and implement a prosody recognition system that could automatically label prosodic events and their boundaries at the syllable level in Persian language using a Multi-Space Probability Distribution Hidden Markov... 

    Optimal transmission switching as a remedial action to enhance power system reliability

    , Article 2016 Smart Grids Conference, SGC 2016, 20 December 2016 through 21 December 2016 ; 2017 , Pages 7-12 ; 9781509049882 (ISBN) Tabatabaei Khorram, S. A ; Fotuhi Firuzabad, M ; Safdarian, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2017
    Abstract
    Increasing redundant paths in transmission grids has always been thought to be a tool to enhance service reliability. However, network equations by intertwining power flows through redundant paths impose more limits on systems with more redundancy. Accordingly, autonomous removing of a few lines may relief capacity limit violations in some contingency events thereby enhancing service reliability. This paper aims to study impacts of manual removing of transmission lines on composite system reliability. For doing so, the existing model is extended to consider optimal transmission switching (OTS) as a remedial action. The model minimizes total damage cost imposed by load curtailments. The... 

    A new lattic LP-based post filter for adaptive noise cancellers in mobile and vehicular applications

    , Article Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008, 16 December 2008 through 19 December 2008, Sarajevo ; 2008 , Pages 407-412 ; 9781424435555 (ISBN) Khorram, S ; Sameti, H ; Veisi, H ; Abutalebi, H. R ; Sharif University of Technology
    2008
    Abstract
    Adaptive Noise Cancellation (ANC) is a well-known technique for background noise reduction in automobile and vehicular environments. The noise fields in automobile and other vehicle interior obey the diffuse noise field model closely. On the other hand, the ANC does not provide sufficient noise reduction in the diffuse noise fields. In this paper, a new multistage post-filter is designed for ANC as a solution to diffuse noise conditions. The designed post-filter is a single channel Linear Prediction (LP) based speech enhancement system. The LP is performed by an adaptive lattice filter and attempts to extract speech components by using intermediate ANC signals. The post-filter has no... 

    Multi-Directional Seismic Analysis and using ET Method in Estimation of the Results

    , M.Sc. Thesis Sharif University of Technology Asgarieh, Eliyar (Author) ; Esmaeil Pourestekanchi, Homayun (Supervisor)
    Abstract
    Exact and safe structural analysis and design under various loadings is an important issue, which have engaged engineers for a long time. Till now, building design codes have suggested three main methods for seismic analysis of structures, which consist of: Static analysis, Pseudo-dynamic response spectrum analysis and Time history analysis. The first two methods are too approximate, especially in irregular structures which demand exact 3d analyses. The most reliable method is Time history method. With advance of computational tools, engineers tend toward using more reliable analysis methods and using old fashioned rough methods is becoming less popular. One of the issues, which is important... 

    Investigation of Endurance Time Method in Seismic Analysis of Vertically Irregular Elastic Steel Frames

    , M.Sc. Thesis Sharif University of Technology Ahmadi, Mehdi (Author) ; Esmaeil Pourestekanchi, Homayun (Supervisor)
    Abstract
    Recent studies show that irregular structures have been damaged more than regular ones during earthquakes. This proves importance of seismic response determination of this type of structures. Today, Codes define irregularity in structures and restrict seismic analysis and design of these types of structures. The Endurance Time (ET) method is a time-history based dynamic pushover procedure for seismic analysis and design of structures that has been recently proposed in Sharif University. This thesis illustrates ET capability in analysis and design of vertically irregular frames. Irregular frames with three, seven and twelve story high were designed with two types of mass and stiffness... 

    Application of Endurance Time Method in Seismic Analysis of Bridges

    , M.Sc. Thesis Sharif University of Technology Ghaffari, Esmaeil (Author) ; Esmaeil Pourestekanchi, Homayun (Supervisor)
    Abstract
    In this research the appilication of a new method named Endurance Time (ET) analysis in seismic analysis of multi span bridges in linear and nonlinear ranges is investigated. Endurance Time is a time history based method of seismic analysis. In this method structure is subjected to an intensifying predefined acceleration function and different damage indices of the structure are evaluated through analysis time. The Endurance Time criterion and the Endurance Time acceleration functions have been generated in previous researchs of ET group. Using 7 earthquake records which are selected from hundred ones of PEER database based on FEMA p695 recommendations, several scaling methods are used to...