2023
Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR
ICASSP 2023accepted
Accurate prediction of the user intent to interact with a voice assistant (VA) on a device (e.g. a smartphone) is critical for achieving naturalistic, engaging, and privacy-centric interactions with the VA. To this end, we present a novel approach to predict the user intention (whether the user is s…