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:
Mar. 15, 2022

Filed:

Dec. 02, 2019
Applicant:

Sandesh Aryal, Kathmandu, NP;

Inventor:

Sandesh Aryal, Kathmandu, NP;

Assignee:

OBEN, INC., Pasadena, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 13/02 (2013.01); G10L 15/16 (2006.01); G10L 15/02 (2006.01); G10L 25/18 (2013.01); G10L 25/90 (2013.01);
U.S. Cl.
CPC ...
G10L 13/02 (2013.01); G10L 15/02 (2013.01); G10L 15/16 (2013.01); G10L 25/18 (2013.01); G10L 25/90 (2013.01); G10L 2015/025 (2013.01); G10L 2015/027 (2013.01);
Abstract

A personalized text-to-speech system configured to perform speaker adaption is disclosed. The TTS system includes an acoustic model comprising a base neural network and a differential neural network. The base neural network is configured to generate acoustic parameters corresponding to a base speaker or voice actor, while the differential neural network is configured to generate acoustic parameters corresponding to differences between acoustic parameters of the base speaker and a particular target speaker. The output of the acoustic model is then a weighted linear combination of the output from the base neural network and differential neural network. The base neural network and differential neural network share a first input layer and first plurality of hidden layers. Thereafter, the base neural network further comprises a second plurality of hidden layers and output layer. In parallel, the differential neural network further comprises a third plurality of hidden layers and separate output layer.


Find Patent Forward Citations

Loading…