Knowledge Transfer for Efficient On-device False Trigger Mitigation

no code implementations • 20 Oct 2020 • Pranay Dighe, Erik Marchi, Srikanth Vishnubhotla, Sachin Kajarekar, Devang Naik

But in case of a false trigger, transcribing the audio using ASR itself is strongly undesirable.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation

no code implementations • 18 Aug 2020 • Rishika Agarwal, Xiaochuan Niu, Pranay Dighe, Srikanth Vishnubhotla, Sameer Badaskar, Devang Naik

In this paper, we propose a novel solution to the FTM problem by introducing a parallel ASR decoding process with a special language model trained from "out-of-domain" data sources.

Language Modelling

Lattice-based Improvements for Voice Triggering Using Graph Neural Networks

no code implementations • 25 Jan 2020 • Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason Williams

A pure trigger-phrase detector model doesn't fully utilize the intent of the user speech whereas by using the complete decoding lattice of user audio, we can effectively mitigate speech not intended for the smart assistant.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1