Real-time use of multiple parallel automatic speech recognition (asr) modules in a conversational artificial intelligence (ai) architecture

Abstract

As an example, a conversational artificial intelligence (AI) that is in a conversation receives a human response from a human, augments the human response to create an augmented response, determines a context of the conversation, and provides the context and the augmented response to a plurality of automatic speech recognition (ASR) modules that individually process the augmented response in parallel. The conversational AI receives a plurality of intermediate text outputs from the plurality of ASR modules, wherein individual intermediate text outputs of the plurality of intermediate text outputs are received from individual ones of the ASR modules. A reconciliation AI performs a contextual reconciliation of the plurality of intermediate text outputs based at least in part on the context of the conversation to create a final text output. The conversational AI provides, in real-time, an artificial intelligence response to the human based on the final text output.