ELEN E6820

• 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.