Voice Command Resolution via Non-Speech Sound Analysis in IoT

The audio input is segmented into speech components and non-speech sound components. The speech recognizer processes only the speech portion for command extraction, while a separate analyzer processes non-speech sounds for context information. This segmentation allows the system to improve resolution accuracy by incorporating non-speech analysis without overwhelming the speech recognition process with complex general audio analysis.

An intermediary processing layer is introduced that takes the raw audio input, separates speech from non-speech components, and routes them to appropriate processing modules. This intermediary structure enables the system to handle both speech commands and non-speech context simultaneously, improving overall command resolution accuracy while maintaining manageable system complexity through modular architecture.

The system performs preliminary analysis of non-speech sounds continuously in the background before a voice command is issued. Environmental sound profiles are pre-established and stored, so when a voice command is given, the system can quickly match the current non-speech audio against pre-analyzed contexts, significantly reducing the time required to identify target devices while maintaining high accuracy.

The patent replaces exhaustive real-time analysis of all audio components with a more efficient approach: speech recognition handles command extraction while a lighter non-speech sound detector identifies environmental context. This substitution of heavy mechanical analysis with specialized, optimized detectors reduces processing time while maintaining accurate target device identification.