Digital Audio and Speech Processing
COURSE: Digital Audio and Speech Processing
Code: ФЕИТ05004
ECTS points: 6 ECTS
Number of classes per week: 3+0+0+3
Lecturer: Assoc. prof. Zoran Ivanovski
Subject of the course content:
A system for transmition and storage of digital audio signals; sampling rate conversion (synchronous and asynchronous) and interpolation methods; oversampling, sigma/delta modulation; dither; noise shaping. Fundamentals of audio compression: characteristics of audio and speech signals; audio analysis – spectral analysis, cepstrum, zero-crossing, Linear Predictive Coding, Partial Correlation Coefficients (PARCOR), Line Spectral Pairs (LSP); lossy and lossless coding; psychoacoustic models; filter banks. Speech analysis and coding: speech waveform; time domain coding – Pulse Code Modulation (PCM); adaptive quantization; predictive quantization; Adaptive Predictive Coding (APC); Adaptive Differential Pulse Code Modulation (ADPCM); frequency domain coding – Sub-Band Coding (SBC); Adaptive Transform Coding (ATC); APC with adaptive bit allocation; hybrid coding techniques; Code-excited linear prediction (CELP). Audio and speech synthesis: Waveform synthesis; analysis by synthesis; articulatory synthesis; rule-based synthesis; text-to-speech synthesis TTS. Speech and speaker recognition: basic principles; spectral criteria, spectral-domain method (SDM); dynamic time worping (DTW); Hidden Markov Models (HMM); Neural Network (NN) models. Audio effects and music synthesis: equalizers; time variant filters; delay lines; modulators; spatialization; time and frequency segment processing.
Literature:
- Udo Zolzer, “Digital Audio Signal Processing”, John Wiley & Sons Ltd., 2nd ed., 2008.
- Sadaoki Furui, ”Digital speech processing, synthesis and recognition”, Marcel Dekker Inc., 2nd ed., 2001.
- Mark Kahrs, Karlheinz Brandenburg ed., “Applications of Digital Signal Processing to Audio and Acoustics”, Kluwer Academic Publishers, 2002.
- Udo Zolzer, “DAFX - Digital Audio Effects”, John Wiley & Sons Ltd., 2002.