Adaptive Personal Tuning of Sound in Mobile Computers
Author(s) -
Andrzej Czyżewski,
Andrzej Ciarkowski,
Bożena Kostek,
et al.
Publication year - 2016
Publication title -
journal of the audio engineering society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.234
H-Index - 60
ISSN - 1549-4950
DOI - 10.17743/jaes.2016.0014
Subject(s) - computer science , sound quality , audio signal processing , mobile device , adaptation (eye) , personal computer , intelligibility (philosophy) , signal processing , linearization , human–computer interaction , speech recognition , audio signal , digital signal processing , computer hardware , speech coding , epistemology , philosophy , nonlinear system , quantum mechanics , optics , operating system , physics
An integrated methodology for enhancing audio quality in mobile computers is presented. The key features are adaptation of the characteristics of their acoustic track to changing acoustic conditions of the environment and to users’ individual preferences. Signal processing algorithms are introduced that concern: linearization of frequency response, dialogue intelligibility enhancement, and dynamics processing tuned up to the users’ hearing characteristics. The description of the algorithms implemented in the C++ programming language is provided. The processing is performed utilizing custom Audio Processing Objects (APO) installed in the Windows sound system. The sound enhancement package is managed with the user interface enabling a control over the sound system. The results of subjective evaluation of the sound processing methods and algorithms introduced to mobile computer devices are discussed.
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