Title :
An A.N.N. model of the perception of sound by the human auditory system
Author :
Riordan, Daniel ; Walsh, J. ; Doody, Pat
Author_Institution :
Sch. of Sci., Technol., Eng. & Math., Inst. of Technol., Tralee, Ireland
Abstract :
The human auditory system perceives sound in a much different manner than sound is measured by modern audio sensing systems. The most commonly referenced aspects of auditory perception are loudness and pitch which relate to the objective measures of frequency and sound pressure levels. This paper describes an efficient and accurate method for the conversion of the sensed factors of frequency and sound pressure level to perceived loudness and pitch. This method is achieved through the modeling of the auditory system using artificial neural networks and will be shown to have certain advantages over previous methods.
Keywords :
acoustic intensity measurement; bioacoustics; biomedical measurement; ear; frequency convertors; hearing; loudness; medical signal processing; neural nets; physiological models; ANN model; artificial neural networks; auditory perception; auditory system modeling; frequency conversion; human auditory system; modern audio sensing systems; objective frequency measurement; objective sound pressure level measurement; perceptual loudness; perceptual pitch; sensed factor conversion; sound measurement; sound perception model; sound pressure level conversion; Artificial neural networks; Frequency conversion; ISO standards; Mathematical model; Neurons; Testing; Training; ANNs; Audio Sensing; Auditory System Modeling; Perceptual Loudness; Pitch;
Conference_Titel :
Sensing Technology (ICST), 2013 Seventh International Conference on
Conference_Location :
Wellington
Print_ISBN :
978-1-4673-5220-8
DOI :
10.1109/ICSensT.2013.6727620