Speech and Audio Processing
The objective is to apply digital signal processing techniques to speech and music signals. Topics covered include acoustic theory of speech production leading to the source-filter model; acoustic and digital vocal-tract models of speech production; speech analysis-synthesis based on the short-time Fourier transform, linear prediction, and homomorphic representations; extensions to other multiresolution analysis; time-domain models for speech processing; auditory perception and speech perception; waveform and model-based speech coding using scalar and vector quantization; time-scale modification; pitch and formant estimation; application of techniques to music analysis-synthesis.
Topics
- acoustic theory of speech production leading to the source-filter model
- acoustic and digital vocal-tract models of speech production
- speech analysis-synthesis based on the short-time Fourier transform
- linear prediction
- and homomorphic representations
- extensions to other multiresolution analysis
- time-domain models for speech processing
- auditory perception and speech perception
- waveform and model-based speech coding using scalar and vector quantization
- time-scale modification
- pitch and formant estimation
- application of techniques to music analysis-synthesis
Topics explicitly listed in official catalogue description
Prerequisites & course information
Credit Only Granted for: ENEE739A or ENEE632 . Formerly: ENEE739A. Additional Information: Completing ENEE620 and ENEE630 is strongly recommended before taking this course.
Sources
- Course catalogue ↗2026-2027