Female Voice Recognition Using Artificial Neural Networks and MATLAB Voicebox Toolbox

Voice and speaker recognition performances are measured based on the accuracy, speed and robustness. These three key performance indicators are primarily dependent on voice feature extraction method and voice recognition algorithm used. This paper aims to discuss various researches in speech recognition that has yielded high accuracy rates of 95% and above. The extracted MFCCs from MATLAB Voicebox toolbox were used as inputs to the multilayer Artificial Neural Networks (ANN) for female voice recognition algorithm. This study explored the recognition performance of the neural networks using variable number of hidden neurons and layers, and determine the architecture that would provide the optimum performance in terms of high recognition rate. MATLAB simulation resulted to a training and testing recognition rate of 100.00% when using 3-hidden-layer neural network from speech samples of a single-speaker, and highest training recognition rate of 98.11% and testing recognition rate of 87.20% when using 4-hidden-layer neural network from speech samples of several speakers. When tested with homonyms, the best recognition rate was 75.00% from a 3-hidden-layer neural network trained from a single-speaker, and 81.91% from a 4- hidden-layer neural network trained from multiple speakers. The deviation in recognition rates were primarily attributed to the variations made in the number of input neurons, hidden layers, and neurons of the speech recognition neural network

A CONFLICT RESOLUTION MODEL USING LOGIC SCORING OF PREFERENCE FOR EXPERT SYSTEMS

ABSTRACT: An Expert System is a type of system that usually has a knowledge base containing accumulated experience and a set of rules for applying the knowledge base to each particular solution. It is an Artificial Intelligence Based System that performs task that otherwise is performed by a human expert. A problem with these systems is that it may output several Possible Causes for a set of Symptoms. In return, the user will still have a coarse time in doing diagnostic procedures. A solution to this problem is to apply a Conflict Resolution model. This paper presents a Conflict Resolution model using Logic Scoring of Preference (LSP) to be used in an Expert System for Information System Communication Networks. This can aide the user in diagnostic procedures and reduce trial and error

A rough set based solar powered flood water purification system with a fuzzy logic model

Water Purification is essential and a human need especially in time of calamities. During calamities many people will require mass amounts of clean water. The problem is during calamities electricity is usually unavailable so a city\u27s water purification system will not work. A portable water purification is needed so clean water can be provided to the victims of the calamity. This research is about a rough set based solar powered water purification system that is integrated with a Fuzzy Logic model. This system is designed to be used in calamities like typhoons because it can convert flood water into clean drinking water an area affected in the calamity. This system is powered by solar panels so even if electricity from traditional power plants is unavailable it will still work. The system is composed of microcontroller unit, solar power system, 7 stage filtering system, and a temperature control unit. This system uses Rough Set Theory and Fuzzy Logic to determine the acceptable Total suspended solids (TSS) of the drinking water. © 2006-2017 Asian Research Publishing Network (ARPN)

A logic scoring of preference algorithm using ISO/IEC 25010:2011 for open source web applications Moodle and Wordpress

An open source is software in which the source code is freely available and may be distributed or revised. The internet is composed of a variety of these systems and is frequently used. One category of open source systems is web applications. Examples of open source web applications are Moodle and Wordpress. One problem of open source web applications is because their codes are freely available and revised many times by different programmers it may not be standard and optimized. Logic scoring of preference is an evaluation methodology with theoretical foundations in fuzzy logic and optimization systems. This methodology allows the nonlinear aggregation of a large number of input criteria without the loss of important data. This research will develop a novel logic scoring of preference algorithm that evaluates open source web applications Moodle and Wordpress to follow the International standard ISO/IEC 25010:2011. A new metric for open source web application quality will be presented and will be focused on the usability and functional suitability of the system. This will serve as a guide for the developers of these programs to further improve the software and optimizing it. © 2006-2018 Asian Research Publishing Network (ARPN)

A rough set based data model for heart disease diagnostics

Heart disease is one of the leading causes of death to human beings. This disease has taken numerous lives throughout human history. Heart disease describes a range of conditions that affects the heart. This disease refers to conditions that involve blocked blood vessels that can lead to a heart attack or stroke. Heart failure caused by damage to the heart that has developed over time cannot be cured. But it can be treated to improve its symptoms. In general, the earlier that a heart disease is detected the better options are available to diagnose it. This paper presented how Rough Set theory is applied to develop a data model to aid a physician to diagnose heart disease. In particular this research will utilize the data obtained from the Hungarian database UCI Machine Learning Repository. The results of the research showed that the rough set theory successfully reduced the dimensionality of the heart disease data set by approximately 49%. Empirical testing was used to validate the rules and gave a 100% result. © 2006-2016 Asian Research Publishing Network (ARPN)

An optimization model of an internet evaluation model using logic scoring of preference

E-commerce is a rapid growing channel for a new business. A strong presence in this domain is helpful to the success of a business or commercial establishment since the birth of the internet the amount of trade conducted electronically has increased drastically. In this paper we utilized an internet evaluation model in an e-commerce system which is called the web site quality evaluation method (QEM) and combined it with an optimization algorithm. The algorithm that was used in this paper is the particle swarm optimization (PSO) algorithm. They were used to obtain weights of the mode

Development of an expert system algorithm for diagnosing cardiovascular disease using rough set theory implemented in MATLAB

Cardiovascular disease refers to conditions that involve narrow or blocked blood vessels. This disease when remained untreated may lead to a heart attack. When a person has a cardiovascular disease, The heart may not be able to pump enough blood to the body. When there is insufficient blood the brain or other organs may become damaged. Cardiovascular disease is challenging to diagnose because its symptoms may be mistaken for other diseases. Early detection, if a person has cardiovascular disease is a big advantage in combating the ailment. This is because diagnosing the disease early may reduce the complications it may bring. This research will develop an Expert System Algorithm for the diagnosis of cardiovascular disease. This research will guide the person diagnosing the disease to provide the appropriate recommendation. The Rough Set Theory will be used to reduce the rules so it can be easily diagnosed. This research will utilize the Statlog Heart Data Set of the UCI machine learning repository. Matrix Laboratory or MATLAB will be used to implement the system. © 2006-2017 Asian Research Publishing Network (ARPN)

Development of PLDT WeRoams\u27 operation support system

Founded on 28 November 1928, the Philippine Long Distance Telephone Company (PLDT) is the country’s principal supplier of domestic and international telecommunication services. The company’s charter, which extends until 2028, authorizes it to provide virtually every type of telecommunication service. The PLDT has a network of 174 central office exchanges serving the Metro Manila area and 188 other cities and municipalities throughout the country. As of 31 December 1997, the number of access lines in service throughout the PLDT system was 1,662,631, representing approximately 80% of all access lines in the country. International long distance services are provided by the PLDT using two international gateway switching exchanges, submarine cables and satellite systems that connect the PLDT’s network worldwide. The PLDT also operates the Philippines’ only nationwide digital microwave backbone, which connects its own exchanges with 466 other local exchanges and 3 exchanges operated by the Philippine government. The PLDT’s national long distance network links 1,106 calling points in 806 municipalities throughout the country. Other services that the PLDT provides include digital leased lines for domestic and international communication, high-speed data transmission, high performance packet switching service, and private networking. Over the years, it has expanded its service from the telephone line to wireless mobile internet and adding new services to the public as new technology is invented. The PLDT WeRoam is a virtual mobile office or mobile private LAN or simply mobile internet. It comes with a variety of designs from the old WeRoam 2G versions to 3G Globetrotter. Now comes the WeRoam USB card type. Traditionally, the major requirement of WeRoam is the PCMCIA slot in the user’s laptop. With the new trend of USB modem, customers have the option now for their card type whether it is PCMCIA slot or USB. The PLDT’s IS User Division is in charge of the personal computers used for customer transaction, such as subscription and billing records. This division is also responsible for the installation of the customer service software used by the company