Biologically-Inspired Modeling of Filtering Noise in Signal Sound

• Main Authors: Hammuzamer , Irwan, Azween, Abdullah
• Format: Conference or Workshop Item
• Published: 2009
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utp.edu.my/758/1/cita_conference.pdf; http://eprints.utp.edu.my/758/

Sound is one of the media that brings information to human but it is also distracted by noises that surround us. Human listens to the noise through the ear and the brain learns and recognizes the signal sound. The process to filter the noise is done in the middle ear, to be precise the cochlea. However, to focus on a desired resonance from the noises to obtain the desired signal sound, the process to decide on this signal sound is made in the brain, and then the brain generates the result. In addition to that matter, there are certain processes need to be encountered before the result is produced such as, learning and recognizing the sound. As for that reason, this research creates a new idea of gaining data using signal sound. The main objective of this research is to develop a process to remove signal noise using concurrent algorithm. This process is inspired by the human biological body parts which are; the human ear as the filtering mechanism, and the human brain as the processing mechanism. Hence, this research elaborates the development of signal noise removal model inspired by the human ear and human brain