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:
Nov. 13, 2018

Filed:

Jun. 13, 2014
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Pei Zhao, Beijing, CN;

Max Leung, Beijing, CN;

Kaisheng Yao, Newcastle, WA (US);

Bo Yan, Union City, CA (US);

Sheng Zhao, Beijing, CN;

Fileno A. Alleva, Redmond, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 13/10 (2013.01); G06N 3/02 (2006.01); G10L 13/08 (2013.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G10L 13/08 (2013.01); G06N 3/02 (2013.01); G06N 3/0445 (2013.01); G10L 13/10 (2013.01);
Abstract

The technology relates to converting text to speech utilizing recurrent neural networks (RNNs). The recurrent neural networks may be implemented as multiple modules for determining properties of the text. In embodiments, a part-of-speech RNN module, letter-to-sound RNN module, a linguistic prosody tagger RNN module, and a context awareness and semantic mining RNN module may all be utilized. The properties from the RNN modules are processed by a hyper-structure RNN module that determine the phonetic properties of the input text based on the outputs of the other RNN modules. The hyper-structure RNN module may generate a generation sequence that is capable of being converting to audible speech by a speech synthesizer. The generation sequence may also be optimized by a global optimization module prior to being synthesized into audible speech.


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