Speech Signal Processing
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Follow on Instagram for UpdatesSpeech Signal Processing Syllabus — Unit-wise Content
The official GTU curriculum for Speech Signal Processing (subject code ME02026031) as prescribed for EAC( · Semester 2 divides the course into 7 units, covering 42 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME02026031)Unit 1 Speech Communication
- discrete-time speech signal processing
- speech communication
- review of signals and linear Systems
Unit 2 Speech Production and acoustic phonetics
- Anatomy and physiology of speech organs
- speech sounds and classification
- International Phonetic Alphabet ( IPA)
- Articulatory Phonetics: Manner of articulation and place of articulation
- vowel triangle
- Acoustic Phonetics: spectrograms
- wide-band and narrow-band spectrograms
- acoustic characteristics of speech sounds
- coarticulation and prosody
Unit 3 Time-domain models for speech processing
- Introduction to short-time speech analysis
- short-time energy and average magnitude
- short-time Zero-Crossing Rate (ZCR)
- speech vs. silence discrimination using energy and zero crossings
- short-time autocorrelation function
- short-time Average Magnitude Difference Function (AMDF)
Unit 4 Short-time Fourier analysis
- Short-time Fourier transform (STFT)
- spectral displays
- time-frequency resolution tradeoffs
- Linear filtering interpretation
- short-time synthesis
- filter bank summation method
Unit 5 Linear Predictive Analysis
- Basic principles of Linear predictive analysis
- autocorrelation method and covariance method
- computation of gain for the model
- prediction error signal
- frequency domain interpretation of LP analysis
- frequency domain interpretation of mean squared prediction error
- applications of LPC parameters Programme Name: Master of Engineering Level: PG Branch: Electronics And Communication (Signal Processing & VLSI Technology) Subject Code : ME02026031 Subject Name : Speech Signal Processing
Unit 6 Homomorphic Signal Processing
- Concept of Homomorphic processing
- Homomorphic systems for convolution
- properties of complex cepstrum
- Homomorphic filtering
- complex cepstrum of voiced speech
- complex cepstrum of unvoiced speech
- Mel-scale cepstrum
Unit 7 Speech Coding
- Fundamentals of coding
- liner prediction and harmonic noise models in speech coding
- modeling excitation for voiced and unvoiced speech
- Code-Excited linear prediction coding
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