Browsing by Subject "Speech transmission"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Open Access Perceived auditory environment in historic spaces of anatolian culture : a case study on Hacı Bayram mosque(International Institute of Acoustics and Vibrations, 2016) Acun V.; Yilmazer, Semiha; Taherzadeh, P.This article reports the initial finds of a research that is concerned with the perceived auditory environment within an historical mosque and its surroundings. Haci Bayram Mosque and its surrounding area of Hamamönü has been selected as the research site due to being the historical center of Ankara. Although there are studies concerned with the acoustical characteristics of mosques, there isn't enough research focusing on users' expectation and interpretation of the perceived auditory environment within a mosque. This study adopts the user focused of Grounded Theory to capture individuals' auditory sensation and interpretation of the perceived auditory environment within a historical mosque and its surroundings. In depth interviews are held with the congregation of the mosque and with the individuals sitting around the surrounding area. Based on their subjective responses, a theoretical framework is generated to gain an insight on the factors that affect individuals understanding and expectation from mosques. Acoustical characteristics of the mosque are analyzed by computer simulation and in-situ measurements of sound pressure levels. Objective room-acoustic indicators consist of reverberation time (RT) and speech transmission index (STI). The conceptual framework generated through Grounded Theory shows how perceived auditory environment may influence individuals' response to the physical environment of the mosque by showing the associations between the soundscape elements, spatial function and sense of place.Item Open Access Real time noise-cancellation using ICA, PSO and PE(IEEE, 2012) Bor, R. İrem; Ider, Y. Ziya; Arıkan, Orhan; Ertan, ErdemIn order to provide noiseless transmission of speech in wireless communication systems a real-time implementable noise cancellation algorithm is developed. Speech and noise sources are not known but only their mixtures are observed. That system is modeled with instantaneous mixture model. Combination of independent component analysis (ICA) and particle swarm optimization (PSO) algorithms is used to separate speech and noise. However, ICA has an ambiguity such that it is not possible to know which one of the separated signals is speech or noise. As a result, the transmitted signal can be noise, instead of speech. To overcome this ambiguity problem, a pitch extraction (PE) algorithm is developed and combined with ICA-PSO. ICAPSO-PE algorithm is implemented in MATLAB. Contributions of this work are modifying objective functions of ICA algorithm to make them more robust, combining ICA with PSO to make it work fast and robust, and overcoming the ambiguity problem using PE algorithm. © 2012 IEEE.