Text-to-Speech translation using Support Vector Machine, an approach to find a potential path for human-computer speech synthesizer

Text-to-Speech (TTS), an astounding feature to assemble computer with intelligence and to induce sound is seemingly a challenging task as it is related to the propagation of uncertainty with the input. This is because TTS evolutes the input based on the probabilities and not with certainty ratios. TTS is accomplished by generating the sound structure/phoneme and then classifying these phonemes in the phonetic dictionary. The Wards' algorithms, BIRCH, Support Vector Machine (SVM) are used to figure out the appropriate sound representation for the given context. To distinguish correct elocution, the SVM procedures are equipped with the principles of pruning. The output was analyzed using divergent stages of uncertainty. In order to study the effect of the output 10 listeners were considered for determining Signal-to-Noise (SNR) ratio. SNR shows that the errors of both type phase and uncertainty were approximately 6% resulting 94% of accuracy. These results manifested that SVM stratagem can be used to obtain better results for TTS synthesizer

Automatic Keyword Extraction from Dravidian Language

Keywords are significant words in a document that gives description of its content to the reader. They provide the summary of a document. Now a days the amount of electronic text increases rapidly in all the languages. So the text mining applications take the advantage of keywords for processing documents. There are few proposed methods for keyword extraction. But not much work has been done in keyword extraction for Indian languages. With exponential increase in the information in Indian languages on the web, automatic information processing and retrieval become an urgent need. Text Mining is essential for knowledge discovery from valuable texts available in many Indian languages. This paper introduces a method, which extracts the keywords from Dravidian languages of India like Tamil, Telugu, and Kannada. We made an attempt to extract the keywords by using words statistics of a documen

Performance Study of Proactive, Reactive and Hybrid Routing Protocols for MANET in Multiple CBR Scenario

Mobile Ad-Hoc Network (MANET) comprises of numerous ubiquitous mobile computing devices called nodes which form distributed network and support dynamic topology without any centralized infrastructure like base station. In such distributed network, the communication between the nodes relies on multihop technique. Since, the nodes in a MANET do not have a priori knowledge of the network topology, it discovers the route through broadcasting and listening to announcement from the neighbours. As the process continues, each node finds one or more routes to all other nodes. Hence, the end-to-end communication in a MANET does not rely on any underlying static network infrastructure but implicates routing via several intermediate nodes. The routing of data in the network depends on the protocol which determines the most appropriate path to forward packets to the intended destination. The routing protocols are classified into proactive, reactive and hybrid. - See more at: http://ijcst.com/vol-6-1/#sthash.WqU9W1rP.4EQeRlbm.dpu

Link Quality Based Power Efficient Routing Protocol (LQ-PERP)

Recent years have witnessed a growing interest in deploying infrastructure-less, self configurable, distributed networks such as Mobile AdHoc Networks (MANET) and Wireless Sensor Networks (WSN) for applications like emergency management and physical variables monitoring respectively. However, nodes in these networks are susceptible to high failure rate due to battery depletion, environmental changes and malicious destruction. Since each node operates with limited sources of power, energy efficiency is an important metric to be considered for designing communication schemes for MANET and WSN. Energy consumed by nodes in MANET or WSN can be reduced by optimizing the internode transmission power which is uniform even with dynamic routing protocols like AODV. However, the transmission power required for internode communication depends on the wireless link quality which inturn depends on various factors like received signal power, propagation path loss, fading, multi-user interference and topological changes. In this paper, link quality based power efficient routing protocol (LQ-PERP) is proposed which saves the battery power of nodes by optimizing the power during data transmission. The performance of the proposed algorithm is evaluated using QualNet network simulator by considering metrics like total energy consumed in nodes, throughput, packet delivery ratio, end-to-end delay and jitter

Performance Study of Adhoc on-Demand Link Quality Aware Route Search Protocol (AO-LQARSP)

A Wireless Sensor Network (WSN) is a network with few tens to thousands of small devices called sensor nodes which are connected wirelessly and involve in communicating the data. WSNs have generated tremendous interest among researchers in recent years because of its potential usage in wide variety of applications. The sensor nodes in WSNs have scarce power; they work in harsh and unattended environments which initiates the need for a better and more reliable routing path to send data. In this paper a routing protocol is proposed to select the route based on better signal strength conditions using Link Quality Indicator of the received signal for IEEE 802.15.4 standard. The performance of the proposed routing protocol is compared with standard reactive routing protocol Adhoc On-demand Distance Vector (AODV) with metrics like total packets received, throughput, total bytes received, average end-to-end delay and average jitter and total energy consumed for various node density scenarios

Indian language text representation and categorization using supervised learning algorithm

In the Constitution of India, a provision is made for each of the Indian states to choose their own official language for communicating at the state level for official purpose. The availability of constantly increasing amount of textual data of various Indian regional languages in electronic form has accelerated. So the Classification of text documents based on languages is essential. The objective of the work is the representation and categorization of Indian language text documents using text mining techniques. Several text mining techniques such as naive Bayes classifier, k-Nearest-Neighbor classifier and decision tree for text categorization have been used. © 2014 IEEE

Cationic complexes of palladium(II) containing phosphorus, arsenic, antimony and nitrogen donor ligands

Pd(ClO4)​2 reacts with several monodentate tertiary phosphines, arsines and stibines in MeCN to produce 3-​coordinate [PdL3]​[ClO4]​2 (L = Ph3P,​Ph2EtP,​Ph3As, Ph2MeAs, Nap2MeAs (Nap = 1-​naphthyl)​, Cy3As (Cy = cyclohexeyl)​, Ph3Sb)​, while the reaction in THF leads to 4-​coordinate [PdL4]​[ClO4]​2 (L = Ph3P, Ph3As, Ph3Sb)​. With chelating bidentate ligands, Pd(ClO4)​2 yields [Pd(L-​L)​2]​[ClO4]​2 (L-​L = Ph2PCH2PPh2, 2-​(α-​pyridyl)​benzimidazole)​

Abstracts of National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental Biotechnology

This book contains the abstracts of the papers presented at the National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental Biotechnology (NCB4EBT-2021) Organized by the Department of Biotechnology, National Institute of Technology Warangal, India held on 29–30 January 2021. This conference is the first of its kind organized by NIT-W which covered an array of interesting topics in biotechnology. This makes it a bit special as it brings together researchers from different disciplines of biotechnology, which in turn will also open new research and cooperation fields for them. Conference Title: National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental BiotechnologyConference Acronym: NCB4EBT-2021Conference Date: 29–30 January 2021Conference Location: Online (Virtual Mode)Conference Organizer: Department of Biotechnology, National Institute of Technology Warangal, Indi