Audio and Acoustics (DMET 1003)
Offered By:
Media Engineering and Technology Faculty
Description
- The main resources: Digital signal processing review.
- Acoustics fundamentals: Sound, waves, waveguides, resonance, energy transfer.
- Pattern recognition fundamentals: noise and uncertainty, distributions, classification, discriminative modeling.
- Speech models and speech synthesis: LPC, cepstrum, harmonic+noise.
- Nonspeech: Nonspeech and music signals, sinewave modeling Room acoustics: Principles, measurements and control.
- 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.