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.
Patent No.:
Date of Patent:
Nov. 21, 2023
Filed:
Dec. 11, 2019
Amazon Technologies, Inc., Reno, NV (US);
Julia Reinspach, Seattle, WA (US);
Oleg Rokhlenko, Kirkland, WA (US);
Ramakanthachary Gottumukkala, Sammamish, WA (US);
Giovanni Clemente, Seattle, WA (US);
Ankit Agrawal, Bellevue, WA (US);
Swayam Bhardwaj, Seattle, WA (US);
Guy Michaeli, Seattle, WA (US);
Vaidyanathan Puthucode Krishnamoorthy, Seattle, WA (US);
Costantino Vlachos, Seattle, WA (US);
Nalledath P. Vinodkrishnan, Bellevue, WA (US);
Shaun M. Vickers, Seattle, WA (US);
Sethuraman Ramachandran, Issaquah, WA (US);
Charles C. Moore, Mercer Island, WA (US);
Amazon Technologies, Inc., Reno, NV (US);
Abstract
A request including audio data is received from a voice-enabled device. A string of phonemes present in the utterance is determined through speech recognition. At a later time, a subsequent user input corresponding to the request may be received, in which the user input is associated with one or more text keywords. The subsequent user input may be obtained in response to an active request. Alternatively, feedback may not be actively elicited, but rather collected passively. However it is obtained, the one or more keywords associated with the subsequent user input may be associated with the string of phonemes to indicate that the user is saying or mean those words when they product that string of phonemes. A user-specific speech recognition key for the user account is then updated to associate the string of phonemes with these words. A general speech recognition model can also be trained using the association.