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Incorporating Auditory Models in Speech/Audio Applications


Abstract Following the success in incorporating perceptual models in audio coding algorithms, their application in other speech/audio processing systems is expanding. In general, all perceptual speech/audio processing algorithms involve minimization of an objective function that directly/indirectly incorporates properties of human perception. This dissertation primarily investigates the problems associated with directly embedding an auditory model in the objective function formulation and proposes possible solutions to overcome high complexity issues for use in real-time speech/audio algorithms. Specific problems addressed in this dissertation include: 1) the development of approximate but computationally efficient auditory model implementations tha... (more)
Created Date 2011
Contributor Krishnamoorthi, Harish (Author) / Spanias, Andreas (Advisor) / Papandreou-Suppappola, Antonia (Committee member) / Tepedelenlioglu, Cihan (Committee member) / Tsakalis, Konstantinos (Committee member) / Arizona State University (Publisher)
Subject Electrical Engineering / Acoustics / Engineering / audio coding / auditory models / loudness estimation / psychoacoustics / speech enhancement
Type Doctoral Dissertation
Extent 160 pages
Language English
Copyright
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Note Ph.D. Electrical Engineering 2011
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis