Speech Recognition Apparatus with Adaptive Acoustic Models

The patent implements dynamic adjustment of speech recognition parameters based on real-time state information of movable portions (lens, display, illumination) and connected devices (microphone, speaker). The recognition control portion continuously adapts acoustic models and processing parameters according to the current device state, transforming the static recognition system into a dynamic one that responds to environmental changes while maintaining accuracy through state-aware processing.

The patent changes physical and processing parameters of the speech recognition system based on device state information. Specifically, it adjusts acoustic models, signal processing parameters, and recognition thresholds according to the positions of movable portions and characteristics of connected devices. This parameter adaptation resolves the contradiction by making the system both adaptable to different states and accurate within each state through optimized parameters.

The recognition control portion serves multiple functions: it manages state information acquisition, adjusts acoustic models, processes speech signals from multiple microphones, and controls output to connected devices. By making this single control portion multi-functional, the patent achieves high recognition accuracy through coordinated processing without proportionally increasing overall system complexity.

The system implements feedback loops where state information from movable portions and connected devices is continuously acquired and used to adjust recognition parameters. The recognition control portion monitors device state changes and dynamically modifies acoustic models and processing parameters, creating a closed-loop system that maintains accuracy while managing complexity through intelligent feedback-based adaptation rather than brute-force hardware increases.