Speech and Audio Signal Processing detailed syllabus for Biomedical Engineering (BME) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the BME 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 Biomedical Engineering 6th Sem scheme and its subjects, do visit BME 6th Sem 2021 regulation scheme. For Professional Elective-V scheme and its subjects refer to BME Professional Elective-V syllabus scheme. The detailed syllabus of speech and audio signal processing is as follows.
Course Objectives:
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Unit I
MECHANICS OF SPEECH AND AUDIO
Introduction – Review of Signal Processing Theory-Speech production mechanism – Nature of Speech signal – Discrete time modelling of Speech production – Classification of Speech sounds -Phones – Phonemes – Phonetic and Phonemic alphabets – Articulatory features. Absolute Threshold of Hearing – Critical Bands- Simultaneous Masking, Masking-Asymmetry, and the Spread of Masking- Nonsimultaneous Masking – Perceptual Entropy – Basic measuring philosophy -Subjective versus objective perceptual testing – The perceptual audio quality measure (PAQM) -Cognitive effects in judging audio quality.
Unit II
TIME-FREQUENCY ANALYSIS: FILTER BANKS AND TRANSFORMS
Introduction -Analysis-Synthesis Framework for M-band Filter Banks- Filter Banks for Audio Coding: Design Considerations – Quadrature Mirror and Conjugate Quadrature Filters- Tree-Structured QMF and CQF M-band Banks – Cosine Modulated “Pseudo QMF” M-band Banks -Cosine Modulated Perfect Reconstruction (PR) M-band Banks and the Modified Discrete Cosine Transform (MDCT) – Discrete Fourier and Discrete Cosine Transform – Pre-echo Distortion- Preecho Control Strategies.
Unit III
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Unit IV
TIME AND FREQUENCY DOMAIN
Time domain parameters of Speech signal – Methods for extracting the parameters: Energy, Average Magnitude – Zero crossing Rate – Silence Discrimination using ZCR and energy Short Time Fourier analysis – Formant extraction – Pitch Extraction using time and frequency domain methods
HOMOMORPHIC SPEECH ANALYSIS: Cepstral analysis of Speech – Formant and Pitch Estimation – Homomorphic Vocoders.
Unit V
LINEAR PREDICTIVE ANALYSIS
Formulation of Linear Prediction problem in Time Domain – Basic Principle – Auto correlation method – Covariance method – Solution of LPC equations – Cholesky method – Durbin’s Recursive algorithm – lattice formation and solutions – Comparison of different methods -Application of LPC parameters – Pitch detection using LPC parameters – Formant analysis -VELP – CELP.
Course Outcomes:
Upon successful completion of the course, students will be able to
- Examine auditory models to design perceptual audio quality measure.
- Design analysis-by-synthesis model for speech perception.
- Analyze and design algorithms for speech and audio coding.
- Analyze and design algorithms for extracting parameters from the speech signal.
- Implement pitch detection and formant analysis in speech signals.
Text Books:
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Reference Books:
- Udo Zolzer , Digital Audio Signal Processing, A John Wiley& sons Ltd Publication, Second Edition, 2008.
- Mark Kahrs, Karlheinz Brandenburg, “Applications of Digital Signal Processing to Audio And Acoustics”, KLUWER ACADEMIC PUBLISHERS NEW YORK, BOSTON, DORDRECHT, LONDON, MOSCOW, 2002.
- Blake, “Electronic Communication Systems”, Thomson Delmar Publications, 2002.
- Martin S. Roden, “Analog and Digital Communication System”, Prentice Hall of India, 3rd Edition, 2002.
- Sklar. B, “Digital Communication Fundamentals and Applications” Pearson Education, 2nd Edition, 2007.
For detailed syllabus of all the other subjects of Biomedical Engineering 6th Sem, visit BME 6th Sem subject syllabuses for 2021 regulation.
For all Biomedical Engineering results, visit Anna University BME all semester results direct link.