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
Famous quotes containing the words areas of, areas and/or study:
“... two great areas of deafness existed in the South: White Southerners had no ears to hear that which threatened their Dream. And colored Southerners had none to hear that which could reduce their anger.”
—Sarah Patton Boyle, U.S. civil rights activist and author. The Desegregated Heart, part 1, ch. 16 (1962)
“The point is, that the function of the novel seems to be changing; it has become an outpost of journalism; we read novels for information about areas of life we don’t know—Nigeria, South Africa, the American army, a coal-mining village, coteries in Chelsea, etc. We read to find out what is going on. One novel in five hundred or a thousand has the quality a novel should have to make it a novel—the quality of philosophy.”
—Doris Lessing (b. 1919)
“The great wars of the present age are the effects of the study of history.”
—Friedrich Nietzsche (1844–1900)