Areas of Study
The study of CA could be roughly divided into the following sub-problems:
- Representation: signal and symbolic. This aspect deals with time-frequency representations, both in terms of notes and spectral models, including pattern playback and audio texture.
- Feature extraction: sound descriptors, segmentation, onset, pitch and envelope detection, chroma, and auditory representations.
- Musical knowledge structures: analysis of tonality, rhythm, and harmonies.
- Sound similarity: methods for comparison between sounds, sound identification, novelty detection, segmentation, and clustering.
- Sequence modeling: matching and alignment between signals and note sequences.
- Source separation: methods of grouping of simultaneous sounds, such as multiple pitch detection and time-frequency clustering methods.
- Auditory cognition: modeling of emotions, anticipation and familiarity, auditory surprise, and analysis of musical structure.
- Multi-modal analysis: finding correspondences between textual, visual, and audio signals.
Read more about this topic: Computer Audition
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