By Francesco Camastra, Alessandro Vinciarelli
Focusing on advanced media and the way to transform uncooked information into important info, this ebook deals either introductory and complex fabric within the mixed fields of laptop studying and image/video processing. it truly is equipped into 3 components. the 1st makes a speciality of technical facets, simple mathematical notions and uncomplicated computer studying concepts. the second one offers an intensive survey of so much proper computer studying innovations for media processing. The 3rd makes a speciality of purposes and indicates how options are utilized in genuine difficulties. Examples and difficulties are in accordance with facts and software program applications publicly on hand at the web.
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Additional info for Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing)
Sample text
2 shows that the signal p(t) has the same frequency as the acoustic wave at its origin. Moreover, it shows that the square of the pressure is proportional to the sound intensity I. In other words, the pressure variations capture the information necessary to fully characterize incoming sounds. In order to do this, microphones contain an elastic membrane that vibrates when the pressure at its sides is different (this is similar to what happens in the ears where an organ called eardrum captures pressure variations).
Otherwise they are called unvoiced. For a given language, all words can be considered like sequences of elementary sounds, called phonemes, belonging to a finite set that contains, for western languages, 35-40 elements on average and each phoneme is either voiced or unvoiced. 2. When air arrives at the glottis, the pressure difference with respect to the vocal tract increases until the vocal folds are forced to open to reestablish the equilibrium. When this is reached, the vocal folds close again and the cycle is repeated as long as voiced phonemes are produced.
The important aspect of such a phenomenon is that the point where the maximum BM displacement is observed depends on the frequency. In other words, the cochlea operates a frequency-to-place conversion that associates each frequency f to a specific point of the BM. The frequency that determines a maximum displacement at a certain position is called the characteristic frequency for that place. The nerves connected to the external cochlea walls in correspondence of such a point are excited and the information about the presence of f is transmitted to the brain.