CORRECTIVE FEEDBACK LOOP FOR AUTOMATED SPEECH RECOGNITION

• US 20130024195A1
• Filed: 09/15/2012
• Published: 01/24/2013
• Est. Priority Date: 03/19/2008
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Igor Roditis Jablokov, Marc White, Victor Roditis Jablokov
• Inventors: White, Marc, Jablokov, Igor Roditis, Jablokov, Victor Roditis
• Granted Patent: US 8,793,122 B2
• Time in Patent Office: Days
• US Class Current: 704/235
• CPC Class Codes: G06F 3/0236 using selection techniques to select from displayed items
• CPC Class Codes: G10L 15/183 using context dependencies, e.g. language models
• CPC Class Codes: G10L 15/19 Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 2015/0631 Creating reference templates; Clustering

Abstract

A method for facilitating the updating of a language model includes receiving, at a client device, via a microphone, an audio message corresponding to speech of a user; communicating the audio message to a first remote server; receiving, that the client device, a result, transcribed at the first remote server using an automatic speech recognition system (“ASR”), from the audio message; receiving, at the client device from the user, an affirmation of the result; storing, at the client device, the result in association with an identifier corresponding to the audio message; and communicating, to a second remote server, the stored result together with the identifier.

Claims

1. A system comprising:

an electronic data store configured to store;

one or more algorithms that, when executed, implement an automatic speech recognition engine; and

a language model; and

a computing device in communication with the electronic data store, the computing device configured to;

obtain audio data comprising speech;

generate a transcription of the speech with the language model;

cause presentation of the transcription;

receive a response to the transcription;

based at least in part on the response, update the language model to generate an updated language model.