Audio and Speech Signal Processing (ASSP)

Audio and Speech Signal Processing

In this Lecture the students will develop a methodology to analyze code, recognize and synthesize audio signals using signal processing techniques. More concrete the student should acquire the theoretical and practical competences related to:

  • Fundamentals of acoustics, physiological and perception of sound
  • Fundamentals of digital signal processing of audio signals
  • Methods for modeling and processing audio and speech signals

Content:

  • Introduction
  • Fundamentals of speech acoustics: Mechanisms of speech production speech, sound classification, sound representation
  • Fundamentals of perception: pitch, intensity and timbre
  • Spectral analysis of audio and speech signals
  • Speech Models: Physical models of speech
  • Fundamentals of speech perception
  • Spectral transforms of audio and speech signals
  • Models based of speech production: Predictive analysis based on speech production (LPC)
  • Application 1: Text-to-Speech Synthesis
  • Application 2: Automatic Speech Recognition: Cepstrum analysis, Hidden Markov Models

About The VIANNA research team