activity
20202022
collaborators

5 papers

eess.AS2022

Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models

Vineet Garg, Ognjen Rudovic, Pranay Dighe +5

We address the problem of detecting speech directed to a device that does not contain a specific wake-word. Specifically, we focus on audio coming from a touch-based invocation. Mi…

cs.SD2021

Streaming on-device detection of device directed speech from voice and touch-based invocation

Ognjen Rudovic, Akanksha Bindal, Vineet Garg +3

When interacting with smart devices such as mobile phones or wearables, the user typically invokes a virtual assistant (VA) by saying a keyword or by pressing a button on the devic…

eess.AS2021

Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation

Vineet Garg, Wonil Chang, Siddharth Sigtia +4

We present a unified and hardware efficient architecture for two stage voice trigger detection (VTD) and false trigger mitigation (FTM) tasks. Two stage VTD systems of voice assist…

eess.AS2020

Progressive Voice Trigger Detection: Accuracy vs Latency

Siddharth Sigtia, John Bridle, Hywel Richards +3

We present an architecture for voice trigger detection for virtual assistants. The main idea in this work is to exploit information in words that immediately follow the trigger phr…

eess.AS2020

Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering

Saurabh Adya, Vineet Garg, Siddharth Sigtia +2

We consider the design of two-pass voice trigger detection systems. We focus on the networks in the second pass that are used to re-score candidate segments obtained from the first…