Context-Aware Keyword Recognition for Voice Command Accuracy
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Solution Overview
Problem
Speech recognition modules in voice-activated devices often incorrectly recognize specific keywords intended as commands when they appear in spoken sentences or ignore them when they are between other words, leading to user frustration and abandonment of voice control.
Innovation Solution
A device with a speech recognition system that includes a keyword recognition module and a context recognition module, where the context module analyzes the context of the keyword using additional features like pitch, prosody, and non-verbal inputs to determine whether the keyword should be executed as a command, preventing incorrect recognition and improving command accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speech recognition modules are trained to recognize specific keywords, then keyword recognition capability is improved, but reliability deteriorates due to incorrect recognition when keywords appear in spoken sentences
Solution Approach 1:
The speech recognition system is segmented into multiple independent modules: a keyword recognition module that identifies potential commands, a context recognition module that analyzes surrounding words and pronunciation characteristics, and a processing module that executes commands. This segmentation allows each module to perform its specific function, with the context module filtering out false positives from the keyword module, thereby improving overall reliability while maintaining keyword recognition capability.
Solution Approach 2:
The context recognition module acts as an intermediary between the keyword recognition module and the processing module. It receives keyword candidates from the keyword module, analyzes their contextual validity using surrounding words and phonetic characteristics, and filters out incorrect recognitions before commands are executed. This intermediary layer resolves the contradiction by maintaining keyword sensitivity while adding contextual validation to improve reliability.
2Adaptability or versatility
If speech recognition modules recognize keywords in spoken sentences, then sensitivity is improved, but accuracy deteriorates due to incorrect identification of commands
Solution Approach 1:
The context recognition module applies local quality analysis by examining the specific linguistic environment surrounding each detected keyword. It analyzes pronunciation characteristics, surrounding words, and contextual patterns to determine whether each keyword instance should be interpreted as a command. This localized analysis maintains high sensitivity for keyword detection while improving accuracy by filtering out keywords that appear in non-command contexts.
3Speed
If specific keywords are recognized without context analysis, then response speed is improved, but reliability deteriorates due to false commands
Solution Approach 1:
The system performs preliminary context analysis in parallel with keyword recognition. The context recognition module continuously monitors the speech stream and prepares contextual information about surrounding words and pronunciation patterns. When a keyword is detected, the pre-analyzed contextual information is immediately available to validate the keyword, allowing the system to maintain fast response speed while ensuring reliability through preliminary contextual preparation.
Data Source
AI summary
A device includes a plurality of components, a memory having a keyword recognition module and a context recognition module, a microphone configured to receive an input speech spoken by a user, an analog-to-digital converter configured to convert the input speech from an analog form to a digital form and generate a digitized speech, and a processor. The processor is configured to detect, using the keyword recognition module, a keyword in the digitized speech, initiate, in response to detecting the keyword by the keyword recognition module, an action to be taken one of the plurality of components, wherein the keyword is associated with the action, determine, using the context recognition module, a context for the keyword, and execute the action if the context determined by the context recognition module indicates that the keyword is a command.