Selective activation of smaller resource footprint automatic speech recognition engines by predicting a domain topic based on a time since a previous communication

Abstract

A method and data processing device for detecting a communication between a first and second entity. The method includes identifying whether a previous communication between the first and second entity has been detected. In response to identifying that the previous communication between the first and second entity has been detected, the method determines an elapsed time since detection of the previous communication. The method predicts a topic of the communication, in part based on the determined elapsed time. The topic corresponds to a specific domain from among a plurality of available domains for automatic speech recognition (ASR) processing. The method triggers selection and activation of a first domain specific (DS) ASR engine from among a plurality of available DS ASR engines to utilize a smaller resource footprint than a general ASR engine and facilitate recognition of specific vocabulary and context, in part, based on the elapsed time since the previous communication.