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. 23, 2024

Filed:

May. 05, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Tom Marius Kenter, London, GB;

Manish Kumar Sharma, London, GB;

Robert Andrew James Clark, Hertfordshire, GB;

Aliaksei Severyn, Zurich, CH;

Assignee:

Google LLC, Mountain View, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/16 (2006.01); G06N 3/084 (2023.01); G10L 15/02 (2006.01); G10L 15/06 (2013.01);
U.S. Cl.
CPC ...
G10L 15/16 (2013.01); G06N 3/084 (2013.01); G10L 15/02 (2013.01); G10L 15/063 (2013.01); G10L 2015/025 (2013.01); G10L 2015/027 (2013.01);
Abstract

A method for generating a prosodic representation includes receiving a text utterance having one or more words. Each word has at least one syllable having at least one phoneme. The method also includes generating, using a Bidirectional Encoder Representations from Transformers (BERT) model, a sequence of wordpiece embeddings and selecting an utterance embedding for the text utterance, the utterance embedding representing an intended prosody. Each wordpiece embedding is associated with one of the one or more words of the text utterance. For each syllable, using the selected utterance embedding and a prosody model that incorporates the BERT model, the method also includes generating a corresponding prosodic syllable embedding for the syllable based on the wordpiece embedding associated with the word that includes the syllable and predicting a duration of the syllable by encoding linguistic features of each phoneme of the syllable with the corresponding prosodic syllable embedding for the syllable.


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