Text and Speech Analysis detailed syllabus for Computer & Communication Engineering (CCE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CCE 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.
For Computer & Communication Engineering 5th Sem scheme and its subjects, do visit CCE 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to CCE Professional Elective-I syllabus scheme. The detailed syllabus of text and speech analysis is as follows.
Course Objectives:
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Unit I
NATURAL LANGUAGE BASICS
Foundations of natural language processing – Language Syntax and Structure- Text Preprocessing and Wrangling – Text tokenization – Stemming – Lemmatization – Removing stop-words – Feature Engineering for Text representation – Bag of Words model- Bag of N-Grams model – TF-IDF model
Suggested Activities
- Flipped classroom on NLP
- Implementation of Text Preprocessing using NLTK
- Implementation of TF-IDF models
Suggested Evaluation Methods
- Quiz on NLP Basics
- Demonstration of Programs
Unit II
TEXT CLASSIFICATION
Vector Semantics and Embeddings -Word Embeddings – Word2Vec model – Glove model -FastText model – Overview of Deep Learning models – RNN – Transformers – Overview of Text summarization and Topic Models
Suggested Activities
- Flipped classroom on Feature extraction of documents
- Implementation of SVM models for text classification
- External learning: Text summarization and Topic models
Suggested Evaluation Methods
- Assignment on above topics
- Quiz on RNN, Transformers
- Implementing NLP with RNN and Transformers
Unit III
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Unit IV
TEXT-TO-SPEECH SYNTHESIS
Overview. Text normalization. Letter-to-sound. Prosody, Evaluation. Signal processing -Concatenative and parametric approaches, WaveNet and other deep learning-based TTS systems
Suggested Activities
- Flipped classroom on Speech signal processing
- Exploring Text normalization
- Data collection
- Implementation of TTS systems
Suggested Evaluation Methods
- Assignment on the above topics
- Quiz on wavenet, deep learning-based TTS systems
- Finding accuracy with different TTS systems
Unit V
AUTOMATIC SPEECH RECOGNITION
Speech recognition: Acoustic modelling – Feature Extraction – HMM, HMM-DNN systems
Suggested Activities
- Flipped classroom on Speech recognition.
- Exploring Feature extraction
Suggested Evaluation Methods
- Assignment on the above topics
- Quiz on acoustic modelling
Practical Exercises
- Create Regular expressions in Python for detecting word patterns and tokenizing text
- Getting started with Python and NLTK – Searching Text, Counting Vocabulary, Frequency Distribution, Collocations, Bigrams
- Accessing Text Corpora using NLTK in Python
- Write a function that finds the 50 most frequently occurring words of a text that are not stop words.
- Implement the Word2Vec model
- Use a transformer for implementing classification
- Design a chatbot with a simple dialog system
- Convert text to speech and find accuracy
- Design a speech recognition system and find the error rate
Course Outcomes:
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Text Books:
- Daniel Jurafsky and James H. Martin, “Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition”, Third Edition, 2022.
Reference Books:
- Dipanjan Sarkar, “Text Analytics with Python: A Practical Real-World approach to Gaining Actionable insights from your data”, APress,2018.
- Tanveer Siddiqui, Tiwary U S, “Natural Language Processing and Information Retrieval”, Oxford University Press, 2008.
- Lawrence Rabiner, Biing-Hwang Juang, B. Yegnanarayana, “Fundamentals of Speech Recognition” 1st Edition, Pearson, 2009.
- Steven Bird, Ewan Klein, and Edward Loper, “Natural language processing with Python”, O’REILLY.
For detailed syllabus of all the other subjects of Computer & Communication Engineering 5th Sem, visit CCE 5th Sem subject syllabuses for 2021 regulation.
For all Computer & Communication Engineering results, visit Anna University CCE all semester results direct link.