Smart devices continue to proliferate, and they provide a variety of functions to assist end users. Voice-interactive (voice-activated) and audio-interactive devices continue to increase in popularity, availability, and functionality. Voice-interactive and audio-interactive devices may improve by monitoring and determining context when distinguishing speech from background noise and distinguishing speech intended for the voice-interactive and audio-interactive device and speech nearby but irrelevant to the device. A machine-learning model can process detected keywords, contextual cues, historical cues, and other information in determining relevant speech from background noise.
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Singaraju, Snehitha, "Context Based Speech Enhancement Techniques for Voice and Media Applications", Technical Disclosure Commons, (June 05, 2019)