RETRACTED ARTICLE: An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map

Lokesh, S.; Kumar, Priyan Malarvizhi; Devi, M. Ramya; Parthasarathy, P.; Gokulnath, C.

doi:10.1007/s00521-018-3466-5

Cited by 112 publications

(37 citation statements)

References 22 publications

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“…ANN-based data models are informative and nonlinear. Several ANN-based solutions have been developed for different languages other than English such as Punjabi [76], Tunisian [70], Chhattisgarhi [77], Tamil [78], Amazigh [71] and Russian [79]. The evaluation of LSTM RNN based ASR have proved that word level acoustic models without language model are more efficient to improve accuracy [75].…”

Section: Automatic Speech Recognition (Asr)mentioning

confidence: 99%

An analytical study of information extraction from unstructured and multidimensional big data

2019

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IntroductionInformation extraction (IE) process extracts useful structured information from the unstructured data in the form of entities, relations, objects, events and many other types. The extracted information from unstructured data is used to prepare data for analysis. Therefore, the efficient and accurate transformation of unstructured data in the IE process improves the data analysis. Numerous techniques have been introduced for different data types i.e. text, image, audio, and video.The advancement in technology promoted the rapid growth of data volume in recent years. The volume, variety (structured, unstructured, and semi-structured data) and velocity of big data have also changed the paradigm of computational capabilities of the systems. IBM estimated that more than 2.5 quintillion bytes of data are generated every Abstract Process of information extraction (IE) is used to extract useful information from unstructured or semi-structured data. Big data arise new challenges for IE techniques with the rapid growth of multifaceted also called as multidimensional unstructured data. Traditional IE systems are inefficient to deal with this huge deluge of unstructured big data. The volume and variety of big data demand to improve the computational capabilities of these IE systems. It is necessary to understand the competency and limitations of the existing IE techniques related to data pre-processing, data extraction and transformation, and representations for huge volumes of multidimensional unstructured data. Numerous studies have been conducted on IE, addressing the challenges and issues for different data types such as text, image, audio and video. Very limited consolidated research work have been conducted to investigate the task-dependent and task-independent limitations of IE covering all data types in a single study. This research work address this limitation and present a systematic literature review of state-of-the-art techniques for a variety of big data, consolidating all data types. Recent challenges of IE are also identified and summarized. Potential solutions are proposed giving future research directions in big data IE. The research is significant in terms of recent trends and challenges related to big data analytics. The outcome of the research and recommendations will help to improve the big data analytics by making it more productive. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Adnan and Akbar J Big Data (2019) 6:91 Malaysia Adnan and Akbar J Big Data (2019) 6:91 RESEARCHday. Among these statistics, it was also predicted that unstructured data from diverse sources will grow up to 90% in few years. IDC estimated that unstructured data will be 95% of the global data in 2020 with estimated 65% annual growth rate [1]. The common characteristics of unstructured data are, (i) it comes in multiple formats...

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Section: Automatic Speech Recognition (Asr)mentioning

confidence: 99%

An analytical study of information extraction from unstructured and multidimensional big data

2019

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“…The response time and the physical size have the behavior in steady state analysis and transient stability. 29 The FACTS devices are STATCOM and SVC with voltage issues are mere expensive than the SVC devices in order to have the reactive power capability. The STATCOM has faster response time and better voltage controllability.…”

Section: Background Studymentioning

confidence: 99%

A computing method‐based rearrangement of network protocols to improvise quality factors of FACTS devices and sensors using Newton‐Raphson technique

Sundaravazhuthi

Rani

Kumar

2020

Computational Intelligence

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The load flow analysis project was carried out using the Newton-Raphson's iteration technique and a multiobjective method was suggested to minimize power loss, increase bus voltage, reduce operating costs, and con-How to cite this article: Sundaravazhuthi V, Alli Rani A, Manoj Kumar M. A computing method-based rearrangement of network protocols to improvise quality factors of FACTS devices and sensors using Newton-Raphson technique.

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“…An exhaustive conversation on power flow along with voltage profile enhancement is accepted which reveals the incorporation of IPFC into power system network using FACTS devices. [4][5][6][7] Here, this improves the compensation and efficient power flow executive of the multiline transmission systems. In some works, for designating FACTS equipment around the power systems, they anticipated with imperialistic competitive algorithm.…”

Section: Introductionmentioning

confidence: 97%

A computational algorithm based on biogeography‐based optimization method for computing power system security constrains with multi FACTS devices

Kumar

Rani

Sundaravazhuthi

2020

Computational Intelligence

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A major role is played by the analysis of power system security in heightening system security and in system collapse condition avoidance. This article presents a cutting edge mechanism which is devised applying transmission line loadings as well as variance in bus voltage magnitude. The use of flexible alternating current transmission systems devices improves the objectives of generation fuel charges in addition to the severity index proposed which were investigated considering the contingency circumstances of generator(s) or/and transmission channel(s). To boost system security in spite of contingency circumstances in the existence of unified power flow controller or UPFC, it would be most appropriate to pinpoint a most advantageous position to install aforementioned device. We propose a model of UPFC where power insertion is done by using voltage source. Also a procedure to incorporate the same and a strategy to find optimum position has been proposed which uses line overload sensitivity indices. This work mainly focused on establishment of available transfer capability on the heavily congested line. The proposed congestion management scheme alleviates the heavy stress in transmission line and provides an ample corridor for the power to flow. Biogeography-based optimization or

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RETRACTED ARTICLE: An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map

Cited by 112 publications

References 22 publications

An analytical study of information extraction from unstructured and multidimensional big data

An analytical study of information extraction from unstructured and multidimensional big data

A computing method‐based rearrangement of network protocols to improvise quality factors of FACTS devices and sensors using Newton‐Raphson technique

A computational algorithm based on biogeography‐based optimization method for computing power system security constrains with multi FACTS devices

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