发明名称 |
Corrective feedback loop for automated speech recognition |
摘要 |
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. |
申请公布号 |
US9384735(B2) |
申请公布日期 |
2016.07.05 |
申请号 |
US201414341054 |
申请日期 |
2014.07.25 |
申请人 |
Amazon Technologies, Inc. |
发明人 |
White Marc;Jablokov Igor Roditis;Jablokov Victor Roman |
分类号 |
G10L15/00;G10L15/26;G06F3/023;G10L15/22;G10L15/30;G10L15/183;G10L15/19;G10L15/06 |
主分类号 |
G10L15/00 |
代理机构 |
Knobbe, Martens, Olson & Bear, LLP |
代理人 |
Knobbe, Martens, Olson & Bear, LLP |
主权项 |
1. A system comprising:
a computing device in communication with an electronic data store, the computing device configured to:
obtain audio data comprising speech from a client device;receive an identifier of an application from the client device, wherein the application is associated with an initial language model;generate a transcription of the speech using the initial language model;transmit the transcription to the client device for presentation to a user;receive feedback on the transcription from the client device; andbased at least in part on the feedback, generate an updated language model, wherein the electronic data store is configured to store at least one of the initial language model and the updated language model. |
地址 |
Seattle WA US |