Smartphone's Sound Testing in Home Setting
Abstract
Quality of sound is one of the most important factors while choosing the perfect smartphone model. This article concerns about
domestic sound testing of smartphones. Both ways of examining and the equipment used for it are discussed. These tests have been performed on popular models of smarphones: Galaxy S6, iPhone 6S and Lumia 950 to collect recent data and to achieve the essential aim: establishing the fact which model is the best in terms of sound processing.
Keywords:
smartphones; audio measurements; soundReferences
[1] E. Murphy i E. A. King, „Smartphone-based noise mapping: Integrating sound level meter app data into the strategic noise mapping process”, Sci. Total Environ., t. 562, ss. 852–859, 2016.
[2] N. Bradai, L. C. Fourati, i L. Kamoun, „Investigation and performance analysis of MAC protocols for WBAN networks”, J. Netw. Comput. Appl., t. 46, ss. 362–373, 2014.
[3] N. Reljin, B. A. Reyes, i Ki H. Chon, „Tidal Volume Estimation Using the Blanket Fractal Dimension of the Tracheal Sounds Acquired by Smartphone”, Sens. 14248220, t. 15, nr 5, ss. 9773–9790, 2015.
[4] J. Lee, B. A. Reyes, D. D. McManus, O. Maitas, i K. H. Chon, „Atrial Fibrillation Detection Using an iPhone 4S”, IEEE Trans. Biomed. Eng., t. 60, nr 1, ss. 203–206, 2013.
[5] E. Murphy i E. A. King, „Testing the accuracy of smartphones and sound level meter applications for measuring environmental noise”, Appl. Acoust., t. 106, ss. 16–22, 2016.
[6] „Android Marshmallow edges closer to «Pro Audio» with lower audio latency”, Android Authority, 2016. http://www. androidauthority.com/android-6-0-marshmallow-audio-latency-670727/. [11.06.2016].
[7] „Flagship Smartphone” https://www.cirrus.com/en/applications/app/detail/APP17.html. [26.06.2016].
[8] „Snapdragon 808 and 810 unveiled: 20-nm, 64-bit beasts coming early next year”, Android Authority, 2014. http://www. androidauthority.com/snapdragon-808-810-specs-features-365530/. [25.02.2016].
[9] A. Li, „Google has created offline voice recognition that is 7x faster than an online system”, 9to5Google, 11-mar2016. https://9to5google.com /2016/03/11/google
[2] N. Bradai, L. C. Fourati, i L. Kamoun, „Investigation and performance analysis of MAC protocols for WBAN networks”, J. Netw. Comput. Appl., t. 46, ss. 362–373, 2014.
[3] N. Reljin, B. A. Reyes, i Ki H. Chon, „Tidal Volume Estimation Using the Blanket Fractal Dimension of the Tracheal Sounds Acquired by Smartphone”, Sens. 14248220, t. 15, nr 5, ss. 9773–9790, 2015.
[4] J. Lee, B. A. Reyes, D. D. McManus, O. Maitas, i K. H. Chon, „Atrial Fibrillation Detection Using an iPhone 4S”, IEEE Trans. Biomed. Eng., t. 60, nr 1, ss. 203–206, 2013.
[5] E. Murphy i E. A. King, „Testing the accuracy of smartphones and sound level meter applications for measuring environmental noise”, Appl. Acoust., t. 106, ss. 16–22, 2016.
[6] „Android Marshmallow edges closer to «Pro Audio» with lower audio latency”, Android Authority, 2016. http://www. androidauthority.com/android-6-0-marshmallow-audio-latency-670727/. [11.06.2016].
[7] „Flagship Smartphone” https://www.cirrus.com/en/applications/app/detail/APP17.html. [26.06.2016].
[8] „Snapdragon 808 and 810 unveiled: 20-nm, 64-bit beasts coming early next year”, Android Authority, 2014. http://www. androidauthority.com/snapdragon-808-810-specs-features-365530/. [25.02.2016].
[9] A. Li, „Google has created offline voice recognition that is 7x faster than an online system”, 9to5Google, 11-mar2016. https://9to5google.com /2016/03/11/google
Ozimek, M. (2016). Smartphone’s Sound Testing in Home Setting . Journal of Computer Sciences Institute, 2, 70–75. https://doi.org/10.35784/jcsi.114
Statistics
Abstract views: 211PDF downloads: 89
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
