EC-803 (C) · Speech Processing/Official Syllabus
Speech Processing (EC-803 (C)) - Official Syllabus
1
Unit 1
Basic Concepts of Speech Processing
- Speech Fundamentals: Articulatory Phonetics - Production and Classification of Speech Sounds
- Acoustic Phonetics - acoustics of speech production
- Review of Digital Signal Processing concepts; Short-Time Fourier Transform, Filter-Bank and LPC Methods
2
Unit 2
Speech Analysis
- Features, Feature Extraction and Pattern Comparison Techniques: Speech distortion measures
- mathematical and perceptual - Log Spectral Distance, Cepstral Distances, Weighted Cepstral Distances and Filtering, Likelihood Distortions, Spectral Distortion using a Warped Frequency Scale
- LPC, PLP and MFCC Coefficients
- Time Alignment and Normalization - Dynamic Time Warping, Multiple Time - Alignment Paths
3
Unit 3
Speech Modeling
- Hidden Markov Models: Markov Processes, HMMs - Evaluation, Optimal State Sequence - Viterbi Search, Baum-Welch Parameter Re-estimation, Implementation issues
4
Unit 4
Speech Recognition
- Large Vocabulary Continuous Speech Recognition: Architecture of a large vocabulary continuous speech recognition system - acoustics and language models - ngrams, context dependent sub-word units
- Applications and present status
5
Unit 5
Speech Synthesis
- Text-to-Speech Synthesis: Concatenative and waveform synthesis methods, subword units for TTS
- intelligibility and naturalness - role of prosody, Applications and present status
Reference Books
- Fundamentals of Speech Recognition
- Speech and Language Processing - An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
- The Scientist and Engineer's Guide to Digital Signal Processing
- Discrete-Time Speech Signal Processing - Principles and Practice
- Speech Recognition
- Speech and audio signal processing
- Statistical Methods of Speech Recognition
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