ELEN E6820

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Topics in Signal Processing

  • Course Introduction: DSP review, Timescale modification
  • Acoustics fundamentals: Sound, waves, waveguides, resonance, energy transfer.
  • Pattern recognition fundamentals: noise and uncertainty, distributions, classification, discriminative modeling.
  • Auditory perception fundamentals: the ear, auditory physiology, psychophysics, auditory scene analysis
  • Speech models and speech synthesis: LPC, cepstrum, harmonic+noise
  • Nonspeech: Nonspeech and music signals, sinewave modeling
  • Compression: Speech coding & high-quality audio compression
  • Spatial sound & rendering
  • Speech Recognition: Features, Hidden Markov Models
  • Music analysis & recognition: Transcription, summarization, and similarity
  • Sound mixtures & separation: CASA, ICA, and model-based separation
  • Audio databases & applications: Content-based retrieval etc.