Introduction
Course and exam description. Motivation of digital audio processing.
Review of the basic concepts of Digital Signal Processing.
Elements of acoustics and psychoacoustics
Introduction to acoustics and sound propagation.
Elements of psychoacoustics. The human hearing system.
Beats. Consonance and dissonance. Critical bands.
Harmony, notes, pitch, timbre.
Tuning systems.
Sound analysis tools
A/D, D/A conversion of the audio signal.
The Discrete Time Fourier Transform (DFT). Windowing. The Short-Time Fourier Transform (STFT). The Zeta transform. The Cepstrum.
Sub-band decomposition and STFT.
Sound synthesis and modeling
Resolution of sinusoidal signals and windowing.
Sinusoidal modeling.
Sound synthesis: additive and subtractive synthesis, granular synthesis, wavetable synthesis, nonlinear distortion (phase/frequency modulation).
Introduction to physical sound modeling for timbral synthesis.
Basic Audio Features
Low-level descriptors (Time Domain, Spectral and Timbral), Sound Classification and similarity.
Audio features. Time-frequency localization.
Pitch features. Chroma features.
Digital audio effects (DAFX) and 3D audio
Basic filter classes. All-pass filters, Comb filters, Linear Phase filters, Minimum Phase filters, Inverse filters.
Modulated digital delay lines, sound effects, reverberation algorithms.
Equalization: typical structures for sound equalization.
Introduction to the speech signal
Acoustic theory of speech production. Analysis and modeling of the speech signal. LPC modelling. Introduction to speech recognition, synthesis and coding.
Examples and concluding remarks
Audio retrieval. Cover song identification.
Music representation. Introduction to audio and speech coding (CELP, MP3, AAC, ...).
Examples of music instruments models.
Concluding remarks.