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Audio Processing and Loudness Estimation Algorithms with iOS Simulations

Abstract The processing power and storage capacity of portable devices have improved considerably over the past decade. This has motivated the implementation of sophisticated audio and other signal processing algorithms on such mobile devices. Of particular interest in this thesis is audio/speech processing based on perceptual criteria. Specifically, estimation of parameters from human auditory models, such as auditory patterns and loudness, involves computationally intensive operations which can strain device resources. Hence, strategies for implementing computationally efficient human auditory models for loudness estimation have been studied in this thesis. Existing algorithms for reducing computations in auditory pattern and loudness estimation h... (more)
Created Date 2013
Contributor Kalyanasundaram, Girish (Author) / Spanias, Andreas S (Advisor) / Tepedelenlioglu, Cihan (Committee member) / Berisha, Visar (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering
Type Masters Thesis
Extent 161 pages
Language English
Reuse Permissions All Rights Reserved
Note M.S. Electrical Engineering 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis