{"id":865,"date":"2016-07-28T08:02:08","date_gmt":"2016-07-28T08:02:08","guid":{"rendered":"http:\/\/www.inspirenignite.com\/jntuk\/?p=865"},"modified":"2016-07-28T08:02:08","modified_gmt":"2016-07-28T08:02:08","slug":"jntuk-b-tech-speech-processing-elective-ii-for-r13-batch","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuk\/jntuk-b-tech-speech-processing-elective-ii-for-r13-batch\/","title":{"rendered":"JNTUK B.Tech Speech Processing (Elective II) for R13 Batch."},"content":{"rendered":"<p>JNTUK B.Tech Speech Processing gives you detail information of Speech Processing R13 syllabus It will be help full to understand you complete curriculum of the year.<\/p><div class=\"a9916ad81d5189659b0bfae0b37c143c\" data-index=\"1\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<ins class=\"adsbygoogle\"\r\n     style=\"display:block; text-align:center;\"\r\n     data-ad-layout=\"in-article\"\r\n     data-ad-format=\"fluid\"\r\n     data-ad-client=\"ca-pub-1181153414625576\"\r\n     data-ad-slot=\"9648548092\"><\/ins>\r\n<script>\r\n     (adsbygoogle = window.adsbygoogle || []).push({});\r\n<\/script>\n<\/div>\n\n<p><strong>UNIT \u2013I: Fundamentals of Digital Speech Processing:<\/strong> Anatomy &amp; Physiology of Speech Organs, The process of Speech Production, Acoustic Phonetics, Articulatory Phonetics, The Acoustic Theory of Speech Production- Uniform lossless tube model, effect of losses in vocal tract, effect of radiation at lips, Digital models for speech signals.<\/p>\n<p><strong>UNIT \u2013II: Time Domain Models for Speech Processing:<\/strong> Introduction- Window considerations, Short time energy and average magnitude Short time average zero crossing rate, Speech Vs Silence discrimination using energy and zero crossing, Pitch period estimation using a parallel processing approach, The short time autocorrelation function, The short time average magnitude difference function, Pitch period estimation using the autocorrelation function.<\/p>\n<p><strong>UNIT \u2013III: Linear Predictive Coding (LPC) Analysis:<\/strong> Basic principles of Linear Predictive Analysis: The Autocorrelation Method, The Covariance Method, Solution of LPC Equations: Cholesky Decomposition Solution for Covariance Method, Durbin\u2019s Recursive Solution for the Autocorrelation Equations, Comparison between the Methods of Solution of the LPC Analysis Equations, Applications of LPC Parameters: Pitch Detection using LPC Parameters, Formant Analysis using LPC Parameters.<\/p>\n<p><strong>UNIT \u2013IV: Homomorphic Speech Processing:<\/strong> Introduction, Homomorphic Systems for Convolution: Properties of the Complex Cepstrum, Computational Considerations, The Complex Cepstrum of Speech, Pitch Detection, Formant Estimation, The Homomorphic Vocoder.<\/p>\n<p><strong>UNIT-V : Speech Enhancement:<\/strong> Nature of interfering sounds, Speech enhancement techniques: Single<br \/>\nMicrophone Approach : spectral subtraction, Enhancement by re-synthesis, Comb filter, Wiener filter, Multi microphone Approach.<\/p>\n<p><strong>UNIT-VI: Automatic Speech &amp; Speaker Recognition:<\/strong> Basic pattern recognition approaches, Parametric representation of speech, Evaluating the similarity of speech patterns, Isolated digit Recognition\u00a0System, Continuous digit Recognition System.<\/p>\n<p><strong>Hidden Markov Model (HMM) for Speech:<\/strong> Hidden Markov Model (HMM) for speech recognition, Viterbi algorithm, Training and testing using HMMS, Speaker Recognition: Recognition techniques, Features that distinguish speakers, Speaker Recognition Systems: Speaker Verification System, Speaker Identification System.<\/p>\n<p><strong>TEXT BOOKS<\/strong><\/p>\n<ul>\n<li>Digital Processing of Speech Signals &#8211; L.R. Rabiner and S. W. Schafer. Pearson Education.<\/li>\n<li>Speech Communications: Human &amp; Machine &#8211; Douglas O&#8217;Shaughnessy, 2nd Ed., Wiley India, 2000.<\/li>\n<li>Digital Processing of Speech Signals. L.R Rabinar and R W Jhaung, 1978, Pearson Education.<\/li>\n<\/ul>\n<p><strong>REFERENCE BOOKS<\/strong><\/p>\n<ul>\n<li>Discrete Time Speech Signal Processing: Principles and Practice &#8211; Thomas F. Quateri, 1st Ed., PE.<\/li>\n<li>Speech &amp; Audio Signal Processing- Ben Gold &amp; Nelson Morgan, 1st Ed., Wiley.<\/li>\n<\/ul>\n<p>For more information about all JNTU updates please stay connected to us on FB and don\u2019t hesitate to ask any questions in the comment.<\/p>\n<div class=\"a9916ad81d5189659b0bfae0b37c143c\" data-index=\"2\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<ins class=\"adsbygoogle\"\r\n     style=\"display:block; text-align:center;\"\r\n     data-ad-layout=\"in-article\"\r\n     data-ad-format=\"fluid\"\r\n     data-ad-client=\"ca-pub-1181153414625576\"\r\n     data-ad-slot=\"8060844699\"><\/ins>\r\n<script>\r\n     (adsbygoogle = window.adsbygoogle || []).push({});\r\n<\/script>\n<\/div>\n\n<div style=\"font-size: 0px; height: 0px; line-height: 0px; margin: 0; padding: 0; clear: both;\"><\/div>","protected":false},"excerpt":{"rendered":"<p>JNTUK B.Tech Speech Processing gives you detail information of Speech Processing R13 syllabus It will be help full to understand you complete curriculum of the year. UNIT \u2013I: Fundamentals of [&hellip;]<\/p>\n","protected":false},"author":2259,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[2],"tags":[],"class_list":["post-865","post","type-post","status-publish","format-standard","hentry","category-syllabus"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/865","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/users\/2259"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/comments?post=865"}],"version-history":[{"count":1,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/865\/revisions"}],"predecessor-version":[{"id":866,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/865\/revisions\/866"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/media?parent=865"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/categories?post=865"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/tags?post=865"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}