A natural language understanding system uses dynamic execution delays and intermediate result caching to reduce processing latency.
A control device detects voice segments to stop a robot using processor analysis of sound data.
A receiving device converts closed captioning text into sign language video overlays for simultaneous display alongside media content.
A voice input system distinguishes human and machine intent to route messages automatically.
A voice control system processes acoustic signals to operate target devices remotely without portable hardware.
A speech recognition system executes selection rules with varying complexity to identify target results from candidate outputs.
Predicts reduced subband spectrum envelopes to adjust initial spectra, reducing quantization noise in real-time communication.
A noise-added voice activity detection model classifies audio frames using deep neural networks to identify speech segments.
A speech signal processing apparatus adjusts candidate output token probabilities based on priority levels to enhance recognition accuracy.
Categorical confidence levels preserve low-score data for user validation, improving task completion rates without numerical normalization.