Speech Processing

Introduction , Mathematics for Speech Processing-Preliminary Concepts,Signals and Linear Systems,Frequency Analysis,Discrete-Time Signals and Systems,Filters.

Articulatory Phonetics-Manner of Articulation,Structure of the Syllable,Voicing, Place of Articulation,Phonemes in Other Languages,Articulatory Models.The Bank of Filters Front End Processor-Types of Filter bank used for Speech Recognition , Implementation of Filter Banks,Summary of considerations for Speech Recognition Filter Banks,Linear Predictive Coding Model for Speech Recognition

Pattern Comparison Techniques-Speech Detection,Distortion Measures,Spectral Distortion Measures,Incorporation of Spectral Dynamic Features into the Distortion Measure,Time Alignment and Normalization.

Theory and Implementation of HMMs-Discrete Time Markov Process,Extensions to HMMs,The three basic problems for HMMs,Types of HMMs,Continuous Observation Densities in HMMs,Autoregressive HMMs,Variants on HMM structures,Inclusion of explicit state duration density in HMMs,Optimization Criteria,Comparison of HMMs,Implementation issues for HMMs,HMM system for isolated word recognition.

Speech Recognition based on Connected Word Models-Introdution, General Notation, Two Level DP Algorithm,The LB Algorithm, The One Pass Algorithm, Multiple Candidate strings Speech Synthesis-Introduction,Principles fo Speech Synthesis,Synthesizer Methods- Articulatory Synthesis, Formant Synthesis,LPC Synthesis,Speech Synthesis for other Speakers, Speech Synthesis in Other Languages, Evaluation of TTS systems.