An Advanced Method for Speech Recognition

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>An Advanced Method for Speech Recognition</title> <meta name="description" content="An Advanced Method for Speech Recognition"> <meta name="keywords" content="Multilayer perceptron (MLP) neural network, Discrete Wavelet Transform (DWT) , Mels Scale Frequency Filter ,UTA algorithm."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="An Advanced Method for Speech Recognition"> <meta name="citation_author" content="Meysam Mohamad pour"> <meta name="citation_author" content="Fardad Farokhi"> <meta name="citation_publication_date" content="2009/01/27"> <meta name="citation_journal_title" content="International Journal of Electrical and Computer Engineering"> <meta name="citation_volume" content="3"> <meta name="citation_issue" content="1"> <meta name="citation_firstpage" content="115"> <meta name="citation_lastpage" content="120"> <meta name="citation_pdf_url" content="https://publications.waset.org/4571/pdf"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value=""> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 33100</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">An Advanced Method for Speech Recognition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Meysam%20Mohamad%20pour">Meysam Mohamad pour</a>, <a href="https://publications.waset.org/search?q=Fardad%20Farokhi"> Fardad Farokhi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper in consideration of each available techniques deficiencies for speech recognition, an advanced method is presented that-s able to classify speech signals with the high accuracy (98%) at the minimum time. In the presented method, first, the recorded signal is preprocessed that this section includes denoising with Mels Frequency Cepstral Analysis and feature extraction using discrete wavelet transform (DWT) coefficients; Then these features are fed to Multilayer Perceptron (MLP) network for classification. Finally, after training of neural network effective features are selected with UTA algorithm. <iframe src="https://publications.waset.org/4571.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Multilayer%20perceptron%20%28MLP%29%20neural%20network" title="Multilayer perceptron (MLP) neural network">Multilayer perceptron (MLP) neural network</a>, <a href="https://publications.waset.org/search?q=Discrete%20Wavelet%20Transform%20%28DWT%29" title=" Discrete Wavelet Transform (DWT) "> Discrete Wavelet Transform (DWT) </a>, <a href="https://publications.waset.org/search?q=Mels%20Scale%20Frequency%20Filter" title=" Mels Scale Frequency Filter "> Mels Scale Frequency Filter </a>, <a href="https://publications.waset.org/search?q=UTA%20algorithm." title="UTA algorithm.">UTA algorithm.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1059445" target="_blank">doi.org/10.5281/zenodo.1059445</a> </p> <a href="https://publications.waset.org/4571/an-advanced-method-for-speech-recognition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/4571/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/4571/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/4571/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/4571/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/4571/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/4571/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/4571/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/4571/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/4571/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/4571/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/4571.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">2367</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] Abdul Ahad, Ahsan Fayyaz, Tariq Mehmood. "Speech Recognition using Multilayer Perceptron" . IEEE trans. pp.103,2002. <br>[2] Karina Vieira, Bogdan Wilamowski, and Robert Kubichek " Speaker Verification for Security Systems Using Artificial Neural Networks". IEEE trans. pp.1102-1105,2003. <br>[3] Song Yang, Meng Joo Er, and Yang Gao. "A High Performance Neural- Networks-Based Speech Recognition System". IEEE trans. pp.1527,2001. <br>[4] Keogh, E. & M. Pazzani. "Derivative Dynamic Time Warping". In Proc. of the First Intl. SIAM Intl. Conf. on Data Mining, Chicago, Illinois, 2001. <br>[5] Abdulla, W., D. Chow, and G. Sin, "Cross-words reference template for DTW-based speech recognition systems", in Proc. IEEE TENCON, Bangalore, India, 2003. <br>[6] Corneliu Octavian DUMITRU, Inge GAVAT. "Vowel, Digit and Continuous Speech Recognition Based on Statistical, Neural and Hybrid Modelling by Using ASRS_RL ". EUROCON 2007, The International Conference on "Computer as Tool", pp.858-859. <br>[7] i.Gavat, O.Dumitru, C. Iancu, Gostache, "Learning strategies in speech Recognition", Proc. Elmar 2005, pp.237-240, june 2005,Zadar, Croatia. <br>[8] Bahlmann. Haasdonk. Burkhardt. "speech and audio recognition" . IEEE trans. Vol 11. May 2003. <br>[9] Edward Gatt, Joseph Micallef, Paul Micsllef, Edward Chilton. "Phoneme Classification in Hardware Implemented Neural Networks ". IEEE trans, pp.481, 2001. <br>[10] Redondo, M.F. Espinosa, C.H. "A comparison among feature selection methods based on trainednetworks." IEEE trans.Aug1999 <br>[11] Kirschning. 1. "Continuous Speech Recognition Using the Time-Sliced Paradigm", MEng.Dissertation, University Of Tokushinia, 1998. <br>[12] Tebelskis. J. "Speech Recognition Using Neural Networks", PhD. Dissertation, School Of ComputerScience, Carnegie Mellon University, 1995. <br>[13] J. Tchorz, B. Kollmeier; "A Psychoacoustical Model of the Auditory Periphery as Front-end forASR"; ASAEAAiDEGA Joint Meeting on Acoustics; Berlin, March 1999. <br>[14] Cory L. Clark "LabVIEW Digital Signal Processing and Digital Communications". McGraw-Hill Companies.2005 <br>[15] " Digital Signal Processing System-Level Design Using LabVIEW " by Nasser Kehtarnavaz and Namjin Kim University of Texas at Dallas. 2005. <br>[16] M. Kantardzic. Data Mining Concepts, Models, Methods, and Algorithms. IEEE, Piscataway, NJ, USA, 2003. <br>[17] R.P. Lippmann, "An Introduction to computing with neural nets." IEEE ASSP Mag. , vol 4, Apr.1997 <br>[18] H. B. D. Martin T. Hagan and M. Beale. Neural Network Design. PWS Publishing Company, Boston, MA, USA, 1996. <br>[19] T. G. Dietterich. Machine learning for sequential data: A review. In Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, pp.15-30, 2002. Springer- Verlag, London, UK. <br>[20] MathWorks. Neural Network Toolbox User-s Guide, 2004. <br>[21] S.M Peeling, R.K Moore and R.J.Tomlinson, "TheMulti Layer Perceptron as a tool for speech pattern processing research." in Proc. IoA Autumn Conf.Speech Hearing. 1986. </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

CINXE.COM

An Advanced Method for Speech Recognition