Streaming action execution based on partial hypotheses
By using partial speech recognition hypotheses to execute sub-actions during user utterances, the method addresses latency issues in digital assistant interfaces, improving responsiveness and reliability on mobile devices.
JP7597935B2Active Publication Date: 2024-12-10GOOGLE LLC
7 Cites -1 Cited by
Patent Information
- Application Number
- JP2023534714
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2020-12-08
- Filing Date
- 2021-11-16
- Publication Date
- 2024-12-10
- Estimated Expiration
- 2041-11-16
Abstract
A method (300) for streaming action performance receives audio data (14) corresponding to an utterance (20), the utterance including a query (22) for performing an action (24), the query (22) requiring execution of a sequence of sub-actions (26) to perform the action. While receiving the audio data, but before receiving an end-of-speech condition (214), the method processes the audio data to generate intermediate automatic speech recognition (ASR) results (212), performs partial query interpretation on the intermediate ASR results to determine whether the intermediate ASR results identify an application type needed to perform the action, and, when the intermediate ASR results identify the particular application type, performs a first sub-action in the sequence of sub-actions by launching a first application (118) for execution on the user device, the first application being associated with the particular application type. The method then performs execution of the action.
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Citation Information
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