Topical Outline:
Segmental Descriptions of Speech
Concept of a Phoneme, Phonemic Analysis
Distinctive Features
Supersegmental Description of Speech
Derived Constituent Structure
Grammar (Generative and Transformational)
Stress
The Vocal Mechanism
Electrical Analog of the Vocal Tract
Two Tube Model for Vowels
Fricatives, Glides, Liquids and Stops
Review of Digital Signal Processing Methods
Fourier Transforms
z-Transforms
System Functions
Sampling Theorem
Digital Models for Speech Production
Acoustics of Speech Production, Properties of Speech Waveform
Digital Models and Basic Problems of Speech Processing
Digital Waveform Coding
Sampling Theorem and Quantization
Mu-law, A-law and Optimum Quantization
Time-Domain Analysis Methods
Peak, Energy and Zero-crossing Measurements
Auto-correlation Analysis
Differential Quantization
Adaptive Quantization
Adaptive Predictions and Applications
Noise Shaping
Short-Time Spectrum Analysis Methods
Definitions, Filterbanks, Computation, Sound Spectrograms
Decimation and Interpolation
Subband Coding
Adaptive Transform Coding
Homomorphic Speech Processing
Basic Theory, Cepstrum of Speech Signals, Pitch Detection
Formant Analysis and Applications
Mel-cepstra
Linear Prediction Analysis Methods
Basic Theory, Computation, Formant Analysis, Spectrum Analysis
Lattice Structures, LSPs, and Perceptual Weighting
Recursive Autocorrelation Functions
Pitch Detection and Vocoders
Analysis-Synthesis Systems
Multi-Pulse Excited Vocoder
Code Excited Linear Predictive (CELP) Vocoder
Self-Excited Vocoder and Regular Pulse Excited Vocoders
Modern Coding Standards
Speech Processing Issues
Introduction to Automatic Speech Recognition
|