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The Brain And Its Effects On Human Brain

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Through neurological processes, pattern-recognition, and analytical resolutions that the human brain achieves when interpreting sound, unknown scientific truths and developments of society can be exposed through various examinations of auditory data in conjunction with traditional visual data.

Following an advanced series of steps, the brain transforms sound waves into interpretable information. Once the sound wave has passed the eardrum and reaches the inner ear, the behavior of the wave is converted into electrical signals that are sent to the brain. The spiral-shaped cochlea in the inner ear is lined with sensory cells (or hair cells) with different levels of sensitivity, allowing the ear to perceive sounds of varying frequencies. …show more content…

Graphs and charts allow data to be mapped by means of two or three variables, limiting the analysis of the star. Yet, parameter mapping accounts for various features of sound as shown in Figure 2.

On the other hand, audificaiton is “the direct translation of data samples to audio samples” (ScienceFriday, 2016). Being the most basic method of sonification, each data point is translated into a signal level, which a digital-to-analog converter reads (Vogt, 2008). This converter takes the finite number of signal levels (e.g., four in the Potts model) and translates them into a state with an infinite number of levels, allowing the data to sound continuous, just as human speech does.

Most recognizably, sonification can also be in the form of auditory icons. They have images that correspond to a specific sound. For example, the trashcan icon on the computer is accompanied by the auditory icon’s sound of a crumpled piece of paper thrown into a metal trashcan (Vogt, 2008). Additionally, the “beep… beep… beep” of a heartrate monitor can easily be recognized. The auditory icon of a beep relays the beat of a patient’s heartrate so that physicians and caretakers may accurately monitor the patient.

Model-based sonification uses the data to control a model that produces sound (Vogt, 2008). This includes the human perception of pitch when filling up a water bottle; an individual can determine the level of water in the bottle (Tünnermann et al., 2009) Water bottles

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