The speech processing and recognition course covers the fundamentals of speech recognition and voice interfacing with machines. Topics include overview of discrete statistical signal analysis, acoustic aspects of speech and hearing, voice interfacing and issues, speech technologies like recognition, synthesis, and compressed audio transmission, automated speech processing, digital models of speech production, short-time processing in time and frequency domains, waveform encoding and linear predictive coding of speech, estimation of fundamental speech parameters, digital speech processing and phonetic feature extraction, identifying words from pronunciations, syntax and semantics in speech understanding, task constraints and natural language, alternative speech recognition system structures, voice interfacing projects, and strategies for achieving user satisfaction, automatic speech recognition and enhancement.