Digital Assistant Language Recognition Latency Reduction
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Solution Overview
Problem
Digital assistants often face latency issues when they incorrectly determine the language of a user's speech input, leading to inefficient user interactions and increased power consumption due to repeated inputs to correct recognition errors.
Innovation Solution
The method involves processing a natural language speech input using multiple language recognizers to determine recognition results in multiple languages, allowing users to quickly select the correct language and perform tasks without repeating the input, thereby reducing user input and power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the digital assistant processes speech input using only a single language recognizer, then the device complexity and power consumption are reduced, but the reliability deteriorates when the language is incorrectly determined leading to latency issues
Solution Approach 1:
The patent applies preliminary action by processing the speech input through multiple language recognizers simultaneously before final language determination. This parallel preprocessing allows the system to have recognition results ready for multiple languages, reducing latency when the initial language determination is incorrect and eliminating the need for users to repeat inputs.
2Reliability
If the digital assistant uses multiple language recognizers simultaneously, then the reliability of language determination is improved, but the use of energy increases due to parallel processing operations
Solution Approach 1:
The patent applies partial action by using multiple language recognizers but only fully processing inputs where there is a genuine need for multilingual support or uncertainty. The system can selectively engage additional recognizers based on initial confidence scores, avoiding full parallel processing for all inputs and thus reducing overall power consumption while maintaining high reliability when needed.
3Measurement precision
If the digital assistant waits for complete speech processing before providing results, then the measurement precision of language determination is improved, but the speed of response deteriorates causing increased latency
Solution Approach 1:
The patent applies preliminary action by performing parallel language recognition processing before final language determination. Multiple language recognizers process the speech input simultaneously, and results are prepared in advance. This allows the system to quickly switch between language interpretations without requiring users to repeat inputs, thereby maintaining high measurement precision while significantly improving response speed.
4Measurement precision
If the digital assistant requires users to repeat speech input to correct language errors, then the measurement precision of language determination can be improved through multiple attempts, but the loss of time increases due to repeated interactions
Solution Approach 1:
The patent applies preliminary action by preparing multiple language recognition results in advance before user confirmation is needed. When a user provides speech input, the system simultaneously processes it through multiple language recognizers and presents the top candidates. This eliminates the need for users to repeat inputs to correct language errors, thereby maintaining high measurement precision while minimizing time loss in user interactions.
Data Source
AI summary
Systems and processes for operating an intelligent automated assistant are provided. An example process includes causing a first recognition result for a received natural language speech input to be displayed, where the first recognition result is in a first language and a second recognition result for the received natural language speech input is available for display responsive to receiving input indicative of user selection of the first recognition result, the second recognition result being in a second language. The example process further includes receiving the input indicative of user selection of the first recognition result and in response to receiving the input indicative of user selection of the first recognition result, causing the second recognition result to be displayed.