Invention Grant
- Patent Title: Apparatus for encoding a speech signal employing ACELP in the autocorrelation domain
-
Application No.: US16209610Application Date: 2018-12-04
-
Publication No.: US11264043B2Publication Date: 2022-03-01
- Inventor: Tom Baeckstroem , Markus Multrus , Guillaume Fuchs , Christian Helmrich , Martin Dietz
- Applicant: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
- Applicant Address: DE Munich
- Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
- Current Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
- Current Assignee Address: DE Munich
- Agency: Perkins Coie LLP
- Agent Michael A. Glenn
- Main IPC: G10L19/00
- IPC: G10L19/00 ; G10L21/00 ; G10L13/00 ; G10L19/038 ; G10L19/107

Abstract:
An apparatus for encoding a speech signal by determining a codebook vector of a speech coding algorithm is provided. The apparatus includes a matrix determiner for determining an autocorrelation matrix R, and a codebook vector determiner for determining the codebook vector depending on the autocorrelation matrix R. The matrix determiner is configured to determine the autocorrelation matrix R by determining vector coefficients of a vector r, wherein the autocorrelation matrix R includes a plurality of rows and a plurality of columns, wherein the vector r indicates one of the columns or one of the rows of the autocorrelation matrix R, wherein R(i, j)=r(|i−j|), wherein R(i, j) indicates the coefficients of the autocorrelation matrix R, wherein i is a first index indicating one of a plurality of rows of the autocorrelation matrix R, and wherein j is a second index indicating one of the plurality of columns of the autocorrelation matrix R.
Public/Granted literature
- US20190115035A1 APPARATUS FOR ENCODING A SPEECH SIGNAL EMPLOYING ACELP IN THE AUTOCORRELATION DOMAIN Public/Granted day:2019-04-18
Information query