Invention Grant
- Patent Title: Language model adaptation
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Application No.: US17706057Application Date: 2022-03-28
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Publication No.: US12014726B2Publication Date: 2024-06-18
- Inventor: Ankur Gandhe , Ariya Rastrow , Roland Maximilian Rolf Maas , Bjorn Hoffmeister
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Pierce Atwood LLP
- Main IPC: G10L15/22
- IPC: G10L15/22 ; G10L15/01 ; G10L15/06 ; G10L15/065

Abstract:
Exemplary embodiments relate to adapting a generic language model during runtime using domain-specific language model data. The system performs an audio frame-level analysis, to determine if the utterance corresponds to a particular domain and whether the ASR hypothesis needs to be rescored. The system processes, using a trained classifier, the ASR hypothesis (a partial hypothesis) generated for the audio data processed so far. The system determines whether to rescore the hypothesis after every few audio frames (representing a word in the utterance) are processed by the speech recognition system.
Public/Granted literature
- US20220358908A1 LANGUAGE MODEL ADAPTATION Public/Granted day:2022-11-10
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