{"id":55832,"date":"2023-08-28T16:08:27","date_gmt":"2023-08-28T16:08:27","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/ccs369-text-and-speech-analysis-syllabus-for-csbs-2021-regulation-professional-elective-i\/"},"modified":"2023-08-28T16:08:27","modified_gmt":"2023-08-28T16:08:27","slug":"ccs369-text-and-speech-analysis-syllabus-for-csbs-2021-regulation-professional-elective-i","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/ccs369-text-and-speech-analysis-syllabus-for-csbs-2021-regulation-professional-elective-i\/","title":{"rendered":"CCS369: Text and Speech Analysis syllabus for CS&amp;BS 2021 regulation (Professional Elective-I)"},"content":{"rendered":"<p align=\"justify\">Text and Speech Analysis detailed syllabus for Computer Science &amp; Business Systems (CS&amp;BS) for 2021 regulation curriculum has been taken from the <a class=\"rank-math-link\" href=\"https:\/\/cac.annauniv.edu\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Anna Universities<\/a> official website and presented for the CS&amp;BS students. For course code, course name, number of credits for a course and other scheme related information,  do visit full semester subjects post given below. <\/p>\n<p align=\"justify\">For Computer Science &amp; Business Systems 5th Sem scheme and its subjects, do visit <a class=\"rank-math-link\" href=\"..\/cs-bs-5th-sem-syllabus-2021-regulation\">CS&amp;BS 5th Sem 2021 regulation scheme<\/a>. For Professional Elective-I scheme and its subjects refer to <a class=\"rank-math-link\" href=\"..\/professional-elective-i-syllabus-for-cs-bs-2021-regulation\">CS&amp;BS Professional Elective-I syllabus scheme<\/a>. The detailed syllabus of text and speech analysis is as follows. <\/p>\n<p><h4>Course Objectives:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Unit I<\/h4>\n<p>NATURAL LANGUAGE BASICS<br \/>\nFoundations of natural language processing &#8211; Language Syntax and Structure- Text Preprocessing and Wrangling &#8211; Text tokenization &#8211; Stemming &#8211; Lemmatization &#8211; Removing stopwords &#8211; Feature Engineering for Text representation &#8211; Bag of Words model- Bag of N-Grams model &#8211; TF-IDF model\n<\/p>\n<p><i>Suggested Activities<\/i><\/p>\n<ul>\n<li>Flipped classroom on NLP<\/li>\n<li>Implementation of Text Preprocessing using NLTK<\/li>\n<li>Implementation of TF-IDF models<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods<\/i><\/p>\n<ul>\n<li>Quiz on NLP Basics<\/li>\n<li>Demonstration of Programs<\/li>\n<\/ul>\n<p><h4>Unit II<\/h4>\n<p>TEXT CLASSIFICATION<br \/>\nVector Semantics and Embeddings -Word Embeddings &#8211; Word2Vec model &#8211; Glove model -FastText model &#8211; Overview of Deep Learning models &#8211; RNN &#8211; Transformers &#8211; Overview of Text summarization and Topic Models\n<\/p>\n<p><i>Suggested Activities<\/i><\/p>\n<ul>\n<li>Flipped classroom on Feature extraction of documents<\/li>\n<li>Implementation of SVM models for text classification<\/li>\n<li>External learning: Text summarization and Topic models<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods<\/i><\/p>\n<ul>\n<li>Assignment on above topics<\/li>\n<li>Quiz on RNN, Transformers<\/li>\n<li>Implementing NLP with RNN and Transformers<\/li>\n<\/ul>\n<p><h4>Unit III<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Unit IV<\/h4>\n<p>TEXT-TO-SPEECH SYNTHESIS<br \/>\nOverview. Text normalization. Letter-to-sound. Prosody, Evaluation. Signal processing -Concatenative and parametric approaches, WaveNet and other deep learning-based TTS systems\n<\/p>\n<p><i>Suggested Activities<\/i><\/p>\n<ul>\n<li>Flipped classroom on Speech signal processing<\/li>\n<li>Exploring Text normalization<\/li>\n<li>Data collection<\/li>\n<li>Implementation of TTS systems<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods<\/i><\/p>\n<ul>\n<li>Assignment on the above topics<\/li>\n<li>Quiz on wavenet, deep learning-based TTS systems<\/li>\n<li>Finding accuracy with different TTS systems<\/li>\n<\/ul>\n<p><h4>Unit V<\/h4>\n<p>AUTOMATIC SPEECH RECOGNITION<br \/>\nSpeech recognition: Acoustic modelling &#8211; Feature Extraction &#8211; HMM, HMM-DNN systems\n<\/p>\n<p><i>Suggested Activities<\/i><\/p>\n<ul>\n<li>Flipped classroom on Speech recognition.<\/li>\n<li>Exploring Feature extraction<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods<\/i><\/p>\n<ul>\n<li>Assignment on the above topics<\/li>\n<li>Quiz on acoustic modelling<\/li>\n<\/ul>\n<p><h4>Practical Exercises<\/h4>\n<ol>\n<li>Create Regular expressions in Python for detecting word patterns and tokenizing text<\/li>\n<li>Getting started with Python and NLTK &#8211; Searching Text, Counting Vocabulary, Frequency Distribution, Collocations, Bigrams<\/li>\n<li>Accessing Text Corpora using NLTK in Python<\/li>\n<li>Write a function that finds the 50 most frequently occurring words of a text that are not stop words.<\/li>\n<li>Implement the Word2Vec model<\/li>\n<li>Use a transformer for implementing classification<\/li>\n<li>Design a chatbot with a simple dialog system<\/li>\n<li>Convert text to speech and find accuracy<\/li>\n<li>Design a speech recognition system and find the error rate<\/li>\n<\/ol>\n<p><h4>Course Outcomes:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Text Books:<\/h4>\n<ol>\n<li>Daniel Jurafsky and James H. Martin, \u201cSpeech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition\u201d, Third Edition, 2022.<\/li>\n<\/ol>\n<p><h4>Reference Books:<\/h4>\n<ol>\n<li>Dipanjan Sarkar, \u201cText Analytics with Python: A Practical Real-World approach to Gaining Actionable insights from your data\u201d, APress,2018.<\/li>\n<li>Tanveer Siddiqui, Tiwary U S, \u201cNatural Language Processing and Information Retrieval\u201d, Oxford University Press, 2008.<\/li>\n<li>Lawrence Rabiner, Biing-Hwang Juang, B. Yegnanarayana, \u201cFundamentals of Speech Recognition\u201d 1st Edition, Pearson, 2009.<\/li>\n<li>Steven Bird, Ewan Klein, and Edward Loper, \u201cNatural language processing with Python\u201d, O\u2019REILLY.<\/li>\n<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all the other subjects of Computer Science &amp; Business Systems 5th Sem, visit <a class=\"rank-math-link\" href=\"..\/category\/cs-bs+5th-sem\">CS&amp;BS 5th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n<p align=\"justify\">For all Computer Science &amp; Business Systems results, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-results\/\">Anna University CS&amp;BS all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Text and Speech Analysis detailed syllabus for Computer Science &amp; Business Systems (CS&amp;BS) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the [&hellip;]<\/p>\n","protected":false},"author":2297,"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":[146],"tags":[],"class_list":["post-55832","post","type-post","status-publish","format-standard","hentry","category-csbs"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55832","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=55832"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55832\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=55832"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=55832"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=55832"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}