Invention Grant
- Patent Title: Audio signal encoding and decoding based on human auditory perception eigenfunction model in Hilbert space
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Application No.: US15469429Application Date: 2017-03-24
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Publication No.: US09990930B2Publication Date: 2018-06-05
- Inventor: Lester F. Ludwig
- Applicant: NRI R&D PATENT LICENSING, LLC
- Applicant Address: US TX San Antonio
- Assignee: NRI R&D PATENT LICENSING, LLC
- Current Assignee: NRI R&D PATENT LICENSING, LLC
- Current Assignee Address: US TX San Antonio
- Agency: Procopio, Cory, Hargreaves & Savitch LLP
- Main IPC: G10L19/022
- IPC: G10L19/022 ; G10L19/26 ; G10L19/16

Abstract:
A computer numerical processing method for encoding and decoding audio information for use in conjunction with human hearing is described. The method comprises approximating an eigenfunction equation representing a model of human hearing, calculating the approximation to each of a plurality of eigenfunctions from at least one aspect of the eigenfunction equation, and storing the approximation to each of a plurality of eigenfunctions for use in encoding and decoding. The approximation to each of a plurality of eigenfunctions represents a perception-oriented basis functions for mathematically representing audio information in a Hilbert-space representation of an audio signal space. The model of human hearing can include a bandpass operation with a bandwidth having the frequency range of human hearing and a time-limiting operation approximating the time duration correlation window of human hearing. In an embodiment, the approximated eigenfunctions comprise a convolution of a prolate spheroidal wavefunction with a trigonometric function.
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