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:
Jan. 06, 2026

Filed:

Jan. 18, 2022
Applicant:

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

Inventors:

Jinzhu Li, Beijing, CN;

Sheng Zhao, Beijing, CN;

Guangyu Wu, Beijing, CN;

Yulin Li, Beijing, CN;

Yanqing Liu, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/045 (2023.01); G06N 3/0442 (2023.01); G06N 3/0464 (2023.01); G10L 13/02 (2013.01); G10L 13/08 (2013.01);
U.S. Cl.
CPC ...
G10L 13/02 (2013.01); G06N 3/0442 (2023.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G10L 13/08 (2013.01);
Abstract

Systems and methods are provided for generating a lightweight, high-quality streaming text-to-speech (TTS) system. For example, some disclosed systems are configured to obtain a first model comprising one or more layers of a convolutional neural network. Each layer of the convolutional neural network is configured to generate a new output from a previous input. The systems also obtain a second model comprising a recurrent neural network. Subsequent to obtaining the first model and the second model, the systems are configured to compile the one or more layers of the convolutional neural network and the recurrent neural network in a parallel architecture to generate a machine learning module such that each model of the machine learning module is configured to receive input simultaneously.


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