The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 09, 2025

Filed:

Mar. 25, 2021
Applicants:

Dolby Laboratories Licensing Corporation, San Francisco, CA (US);

Dolby International Ab, Amsterdam, NL;

Inventors:

Chunghsin Yeh, Barcelona, ES;

Giulio Cengarle, Barcelona, ES;

Mark David De Burgh, San Francisco, CA (US);

Assignees:

Dolby Laboratories Licensing Corporation, San Francisco, CA (US);

Dolby International AB, Amsterdam, NL;

Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 21/0364 (2013.01); G10L 17/20 (2013.01); G10L 21/028 (2013.01); G10L 21/034 (2013.01); G10L 25/21 (2013.01); G10L 25/30 (2013.01); G10L 25/78 (2013.01); G10L 25/84 (2013.01);
U.S. Cl.
CPC ...
G10L 21/0364 (2013.01); G10L 17/20 (2013.01); G10L 21/028 (2013.01); G10L 21/034 (2013.01); G10L 25/21 (2013.01); G10L 25/30 (2013.01); G10L 25/84 (2013.01); G10L 2025/786 (2013.01);
Abstract

Embodiments are disclosed for automatic leveling of speech content. In an embodiment, a method comprises: receiving, using one or more processors, frames of an audio recording including speech and non-speech content; for each frame: determining, using the one or more processors, a speech probability; analyzing, using the one or more processors, a perceptual loudness of the frame; obtaining, using the one or more processors, a target loudness range for the frame; computing, using the one or more processors, gains to apply to the frame based on the target loudness range and the perceptual loudness analysis, where the gains include dynamic gains that change frame-by-frame and that are scaled based on the speech probability; and applying the gains to the frame so that a resulting loudness range of the speech content in the audio recording fits within the target loudness range.


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