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:
May. 13, 2014

Filed:

Jul. 24, 2012
Applicants:

Yun-hsuan Sung, Mountain View, CA (US);

Meihong Wang, Los Angeles, CA (US);

Xin Lei, Sunnyvale, CA (US);

Inventors:

Yun-hsuan Sung, Mountain View, CA (US);

Meihong Wang, Los Angeles, CA (US);

Xin Lei, Sunnyvale, CA (US);

Assignee:

Google Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/02 (2006.01);
U.S. Cl.
CPC ...
G10L 15/02 (2013.01);
Abstract

A computer-implemented method for digital speech processing, including (1) receiving, at a server computer, digital speech data from a computing device, the digital speech data comprising data points sampled at respective time points; (2) computing, by the server computer, a tonal feature of the digital speech data, the tonal feature comprising information encoding fundamental frequencies at the respective time points; (3) computing, by the server computer, a logarithm of the tonal feature at the respective time points; and (4) processing, by the server computer, the logarithm of the tonal feature based on a characterization of the digital speech data at the respective time points.


Find Patent Forward Citations

Sung, Yun-hsuan. (2014). Mobile speech recognition with explicit tone features (U.S. Patent No. 8725498). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/8725498

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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