Voice Interaction Scenario Routing for Fast and Accurate Recognition
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Solution Overview
Problem
Existing voice interaction systems face challenges in balancing accuracy and efficiency due to limited recognition capabilities in electronic devices and network-dependent interactions with clouds, leading to delayed responses.
Innovation Solution
A voice interaction method and apparatus that allows local device processing to determine operations based on preset conditions and cloud feedback, enabling flexible scenario-based processing to enhance accuracy and reduce response time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If voice recognition is performed using only the electronic device, then response speed is fast, but recognition accuracy is limited
Solution Approach 1:
The voice recognition system is segmented into local device recognition and cloud recognition components. The electronic device performs initial recognition locally for fast response, while the cloud provides enhanced recognition capability for improved accuracy when needed.
Solution Approach 2:
The patent introduces a scenario determination mechanism as an intermediary that decides whether to use local-only recognition or cloud-assisted recognition based on the current voice interaction scenario, balancing speed and accuracy requirements.
2Measurement precision
If voice recognition is performed using the cloud, then recognition accuracy is improved, but response delay increases
Solution Approach 1:
Instead of always using cloud recognition for maximum accuracy, the system applies partial action by using cloud recognition only when the scenario requires enhanced accuracy, avoiding unnecessary network communication and reducing response delay in scenarios where local recognition suffices.
3Productivity
If the electronic device independently determines operations, then response efficiency is high, but handling capability is limited
Solution Approach 1:
The system dynamically adjusts its operation determination strategy based on the voice interaction scenario. For simple scenarios, the electronic device independently determines operations for high efficiency; for complex scenarios, it collaborates with the cloud to enhance handling capability.
4Adaptability or versatility
If the electronic device collaborates with the cloud, then handling capability is improved, but interaction complexity increases
Solution Approach 1:
The patent applies local quality by making the electronic device intelligent at the local level through scenario determination. The device can independently handle simple scenarios without cloud interaction, reducing complexity, while collaborating with the cloud only when enhanced handling capability is required.
Data Source
AI summary
This application provides voice interaction methods and apparatuses. In an implementation, A first apparatus obtains, by using a voice sensor, first voice information including a voice instruction of a user. The first apparatus determines, based on the first voice information, to perform a target operation indicated by the first voice information. The first apparatus may also send the first voice information to a second apparatus. The first apparatus may determine, based on a first preset condition, to perform a first operation or a second operation, wherein the first operation is determined by the first apparatus based on the first semantic recognition result, and wherein the second operation is indicated by a second apparatus.